Requirements engineer jobs in Southeast, NY

We are seeking a C++ Market Data Engineer to design and optimize ultra-low-latency feed handlers that power global trading systems. This is a high-impact role where your code directly drives real-time decision making. What You'll Do: Build high-performance feed handlers in modern C++ (14/17/20) for equities, futures, and options Optimize systems for micro/nanosecond latency with lock-free algorithms and cache-friendly design Ensure reliable data delivery with failover, gap recovery, and replay mechanisms Collaborate with researchers and engineers to align data formats for trading and simulation Instrument and test systems for continuous performance improvements What We're Looking For: 3+ years of C++ development experience (low-latency, high-throughput systems) Experience with real-time market data feeds (e.g., Bloomberg B-PIPE, CME MDP, Refinitiv, OPRA, ITCH) Strong knowledge of concurrency, memory models, and compiler optimizations Python scripting skills for testing and automation Familiarity with Docker/Kubernetes and cloud networking (AWS/GCP) is a plus

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets. We are more than 36,000 people, in over 70 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world's most complex challenges and deliver more impact together. Role description: Arcadis is seeking a Construction Change Order Engineer to join our NYCDEP Construction Management Team in Yonkers, New York. This role requires full-time onsite presence for a NYCDEP construction project located in Yonkers NY. Role accountabilities: In this role, you will use your specific NYCDEP's Bureau of Engineering Design and Construction change order experience to develop independent, complete and accurate cost estimates, perform quantity take-offs, lead the negotiation of design and field change orders, draft Authorized Cost Breakdown Summaries and Negotiation Letters and responses to Office of Engineering Audits inquiries Lead the development of independent cost estimates for change orders including quantity takeoff, pricing, verification of vendor pricing, evaluation of historical cost data, development of estimates with markups and direct and indirect costs in accordance with industry standards, NYCDEP contract requirements and best practices. Review and evaluate cost proposals provided by contractors through contract document take-offs, subcontractor proposals and estimates, use of estimating software, construction experience and knowledge. Facilitate cost negotiations with contractors. Prepare independent estimates of probable costs for potential change orders. Review and evaluate contractor time and material records and cost documentation for inclusion in change orders. Develop Authorized Cost Breakdown spreadsheets and Negotiation Memos for all negotiated change orders. Support the quantification of financial damages, if necessary, associated with claims for delay, loss of productivity, cost overruns, and other project impacts Qualifications & Experience: 5 year's experience with the NYCDEP Bureau of Engineering Design and Construction capital project change order process, and estimating and negotiating change orders Bachelor's Degree in Engineering, Construction Management, Finance, or Business Analytics Proficiency with Sage (Timberline), Bluebeam estimating software, MS office Suite Expertise with estimating for general trades, heavy civil, mechanical, electrical, and instrumentation and controls. Ability to understand complex Civil and MEP and water treatment process projects Continue your career journey as an Arcadian. We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It's why we are pioneering a skills based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together. You do meaningful work, and no matter where your next role in Arcadis takes you, you'll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark; on your career, your colleagues, your clients, your life and the world around you. Together, we can create a lasting legacy. Our Commitment to Equality, Diversity, Inclusion & Belonging We want you to be able to bring your best self to work every day which is why we take equality and inclusion seriously and hold ourselves to account for our actions. Our ambition is to be an employer of choice and provide a great place to work for all our people. We are an equal opportunity and affirmative action employer. Women, minorities, people with disabilities and veterans are strongly encouraged to apply. We are dedicated to a policy of non-discrimination in employment on any basis including race, creed, color, religion, national origin, sex, age, disability, marital status, sexual orientation, gender identity, citizenship status, disability, veteran status, or any other basis prohibited by law. Arcadis offers benefits for full time and part time positions. These benefits include medical, dental, and vision, EAP, 401K, STD, LTD, AD&D, life insurance, paid parental leave, reward & recognition program and optional benefits including wellbeing benefits, adoption assistance and tuition reimbursement. We offer nine paid holidays and 15 days PTO that accrue per year. The salary range for this position is $140,000 - $180,000.. Actual salaries will vary and are based on several factors, such as experience, education, budget, internal equity, project and location. #LI-ET1 #Resilience #Water-ANA

Company DescriptionJobs for Humanity is partnering with Capital One to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals. This position is open to candidates who reside in and have the legal right to work in the country where the job is located. Company Name: Capital One Job DescriptionLocations: VA - McLean, United States of America, McLean, VirginiaAppSec Engineer About the Job Do you enjoy seeing the impact your work has on real customers? As a Security Engineer at Capital One, you'll help create, maintain, and improve applications and solutions at massive scale, helping to not only improve the security of applications for millions of people around the world, but also greatly reducing risk for Capital One. As a member of the Application Security team, you'll be part of the process that contributes to securing, validating and sustaining Capital One products, which millions of customers across the world use on a daily basis. Whether you are validating that our services, applications and websites are designed and implemented to the highest security standards, you will be part of a development ecosystem at Capital One which is unlike any other in our industry. Capital One Application Security is on the cutting edge of many security issues for a wide variety of platforms and technologies including cloud applications, mobile devices and APIs, all operating at massive scale. Similarly, our highly collaborative team is committed to each team member's growth as our business grows. The Capital One Application Security team is looking for an Application Security Engineer to help validate that our services, applications and websites are designed and implemented to the highest security standards. You will be responsible for analyzing the security of applications and services, discovering and addressing security issues, building security automation and quickly reacting to new threat scenarios. You will have the opportunity to learn from, and be mentored by, those who are building and securing our cutting-edge applications. An Application Security Engineer at Capital One is expected to be strong in multiple domains and provide significant contributions to the Capital One Security team. Security engineers are expected to develop solutions and apply appropriate decision making to complex business problems, all while adhering to security engineering best practices. In addition, an Application Security Engineer must foster constructive dialogue and seek resolution when confronted with discordant views. Engineers in this role are expected to participate fully in the planning of the team's work and constantly seek opportunities for process improvements. A successful candidate will need a combination of troubleshooting, technical, and communication skills, as well as the ability to handle a mix of tasks which may include project and software development work. This role will provide career growth opportunities as you gain new security skills in the course of your duties. Key job responsibilities: API and web application security reviews Mobile application security reviews Projects and research work as needed Security training and outreach to internal development teams Security guidance documentation Security tool development Security metrics delivery and improvements Assistance with recruiting activities and administrative work Basic Qualifications: High School Diploma, GED or equivalent certification At least 4 years of experience with dynamic application security, web, API or mobile security, secure coding, or software development or a combination of At least 4 years of experience with security engineering or application security Preferred Qualifications: Bachelor's Degree in Computer Science 2+ years experience testing APIs, web and mobile applications 2+ years experience with multiple programming languages (Java, Python, Perl, etc.) The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $161,900 - $184,800 for Prin Assoc, Cyber Technical Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Must Have Technical/Functional Skills Strong Knowledge in AWS migration from VMC to AWS Native services Roles & Responsibilities * Your role as a Senior AWS Cloud Engineer with 8+ years experience * Work on migrating VM's & applications from an VMC to the AWS cloud service providers * Quickly understand how the on-prem implementation is working and implement the roadmap to migrate the application to cloud * Develop products and services on the latest technologies through contributions in development, enhancements, testing and implementation. * Effectively leverage the popular open-source components and home-grown frameworks * Develop, modify, extend code for building cloud infrastructure, and automate using CI/CD pipeline. * Partners with business and peers in the pursuit of solutions that achieve business goals through an agile software development methodology. * Perform problem analysis, data analysis, reporting, and communication. * Work with peers across the system to define and implement best practices and standards. * Assess applications and help determine the appropriate application infrastructure patterns. * Use best practices and knowledge of internal or external drivers to improve products or services. What we are looking for: * Hands-on experience in building/implementing cloud platforms/applications on AWS platform. * Expertise in AWS Compute (EC2, EMR), AWS Storage (S3, EBS), AWS Databases (RDS, DynamoDB), AWS Data Integration (Glue), Lambda and AWS Core services. * Good understanding of AWS Identify and Access management, AWS Networking and AWS Monitoring tools. * Proficiency in CI/CD and deployment automation using GITLAB pipeline. * Proficiency in Cloud infrastructure provisioning tools e.g., Terraform. * Expert level skills in SQL queries in databases like Oracle, SQL Server Salary Range : $110,000-$120,000 a year.

Job Description About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients recruitment operations. We partner directly with: AI-first startups building products powered by LLMs, generative AI, intelligent automations, Established tech companies: scaling their ML infrastructure, recommendation systems, and data platforms, and Enterprise innovation teams integrating AI into traditional domains such as finance, healthcare, and logistics. We collaborate directly with founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Our Client Is a San Francisco based startup building a GenAI-native platform that automates one of the most complex, time-consuming challenges in finance and Tax and turning dense tax documents into structured, usable data in minutes. Their system processes everything from K-1s and K-3s to intricate footnotes with near-human precision, achieving over 99% accuracy on income lines and streamlining workflows across Excel and API integrations. They serve some of the most sophisticated players in private wealth, and asset management, helping them move faster and make better decisions in an industry where accuracy and speed define competitiveness. Backed by seasoned founders and AI leaders from top-tier tech companies like facebook and salesforce, this team combines product craftsmanship with cutting-edge machine learning to bring intelligence to a domain that has long resisted automation. Recently acquired by a global technology leader, the company now operates with the mindset, pace, and creative autonomy of a startup but with the stability, benefits, and resources of an established enterprise. Youll be joining a team of proven builders whove scaled products to acquisition, engineered systems that power billions of data points, and are now applying GenAI to redefine how financial data is understood, structured, and acted upon. Location: Union Square, San Francisco Work type: Full Time, 5 days a week On-Site. Compensation: above market base + bonus + equity Visa: sponsorship available for candidates with demonstrated brilliance and expertise. What we are looking for Were seeking an Applied AI / ML Engineer with 5+ years of experience building and scaling commercial machine learning systems in meaningful ownership roles, especially with document understanding and extraction. You are an exceptional builder who thrives at the intersection of real world features and AI/ML engineering, someone who not only understands how models work, but also how to use them to deliver real, measurable value to end users. This role is central as they scale their GenAI-native platform for tax document processing, combining the velocity of a startup with the backing of resources and reach of a large multi national firm. Roles & Responsibilities Build and scale the ML and product infrastructure that powers intelligent tax document processing at production scale. Design and optimize inference systems, dataset pipelines, and specific logic to improve accuracy, speed, and quality as we expand to millions of documents. Collaborate closely with accountants and tax domain experts to deeply understand workflows, pain points, and quality thresholds translating insights into productized ML systems. Integrate inference pipelines into a seamless, end-to-end experience that transforms how tax professionals process and interpret documents. Develop expert systems that encode institutional tax knowledge into scalable, maintainable software components. Drive experiments, measure outcomes, and iterate rapidly on core ML metrics. Collaborate cross-functionally with product, engineering, and leadership to shape technical direction and influence product vision. Qualifications Core Experience 4+ years of experience in machine learning / AI engineering with proven end-to-end ownership of ML-powered products. Strong track record of building systems that create direct user value, not just research prototypes or internal tooling. Demonstrated ability to work with large, complex datasets, optimizing for accuracy, scalability, and reliability. Strong fundamental understanding of how to build, measure, and iterate on ML systems and ML-powered enterprise or consumer products. Comfortable with Python and popular ML libraries (e.g. pandas, scikit-learn, spa Cy, pytorch, tensorflow, keras), cloud providers such as GCP/AWS, container technologies (e.g. Docker, Kubernetes), web application development including Python-based web servers (e.g. Flask, Django), and database and storage layers (e.g. Postgres, SQL, S3/GCS). Experience deploying or integrating LLMs, LLM APIs, Agents and prompt engineering into production systems. Strong Python proficiency and hands-on familiarity with ML infrastructure and data workflows. Experience in document understanding, OCR, or applied NLP. Exposure to financial or tax-related data environments. Startup or 01 product experience. Soft Skills Exceptional problem-solving ability, curiosity, and product intuition. Strong communication skills with the ability to engage directly with domain experts and translate complex needs into technical solutions. Growth trajectory demonstrated through promotions or increasing scope of responsibility. Other roles in Applied AI / ML in the US, check them out here: Applied AI / ML engineer focusing on LLMs, and Knowledge Graphs: [*******************************************

Why Join DeSimone? At DeSimone, you'll work alongside some of the world's most brilliant engineering minds on projects that redefine skylines and push the boundaries of design and innovation. From iconic skyscrapers to cutting-edge structures, our global portfolio reflects a commitment to excellence and creativity. We foster a culture of continuous learning and growth, offering mentorship, professional development, and exposure to groundbreaking technologies. Collaboration is at the heart of what we do-our open, inclusive environment empowers every team member to contribute ideas and shape the future of structural engineering. As a Top Workplace and an ENR-ranked firm, we provide competitive compensation, comprehensive benefits, and opportunities to make an impact-both in your career and in the community. If you're passionate about innovation, eager to learn, and ready to grow, DeSimone is where your potential meets possibility. Join us and help build the future. About the Role: As an Engineer at DeSimone Consulting Engineering, you'll contribute to the structural design process across a variety of projects. Working under the guidance of senior team members, you'll perform structural analysis, assist in design development, and support project delivery from concept through construction. This role offers hands-on experience with technical design, site observations, and collaboration with multidisciplinary teams while building a strong foundation for professional growth. What You'll Do: Perform structural design and analysis using software tools such as Revit and Rhino. Model building foundation and superstructure systems and design structural elements. Prepare structural drawings, technical reports, and documentation. Conduct field observations and inspections under senior guidance. Review submittals, shop drawings, and RFIs for accuracy and compliance. Maintain clear records of all design calculations and work products. Communicate effectively with teammates, clients, and management to ensure project success. Support project planning and contribute to internal operations, including timesheets and compliance with safety standards. What We're Looking For: Bachelor of Science Degree in Structural or Civil Engineering, or a related field, from an ABET-accredited program and one (1) or more years of relevant coursework in structural analysis and design Internship experience with a structural engineering firm with exposure to mid to high-rise building projects Coursework in concrete, steel, wood and masonry design Must pass basic engineering skills test Minimum (Required) Skills: Ability to learn local and national building codes required for project work Knowledge of standard construction practices and the ability to work with contractors to address construction issues Ability to work in Rhino and Revit Strong verbal and written communications skills Detail-oriented with strong people and team skills Preferred Qualifications & Skills: Master of Science Degree in Structural or Civil Engineering from an ABET-accredited program 1-2 years of experience on mid to high-rise building projects EIT certification At DeSimone, we believe in transparency when it comes to salary and hourly rates for our job postings. Our pay range represents the range of salaries or hourly rates that we think, in good faith, we might be willing to pay, for the posted job in the specified location(s). This position is classified as salaried, exempt. The hiring salary range for this role is anticipated to be $70,000 - $78,000 dependent upon experience and qualifications. For this particular position, we expect to hire near the middle of the range. We understand that there may be rare and exceptional circumstances where an external candidate has experience, credentials, or expertise that far exceed those required or expected for the position. In these cases, we may consider paying a salary or rate near the higher end of the range. We appreciate your interest in DeSimone and look forward to reviewing your application. DeSimone is an equal employment opportunity (EEO) employer.

Why Join DeSimone? At DeSimone, you'll work alongside some of the world's most brilliant engineering minds on projects that redefine skylines and push the boundaries of design and innovation. From iconic skyscrapers to cutting-edge structures, our global portfolio reflects a commitment to excellence and creativity. We foster a culture of continuous learning and growth, offering mentorship, professional development, and exposure to groundbreaking technologies. Collaboration is at the heart of what we do-our open, inclusive environment empowers every team member to contribute ideas and shape the future of structural engineering. As a Top Workplace and an ENR-ranked firm, we provide competitive compensation, comprehensive benefits, and opportunities to make an impact-both in your career and in the community. If you're passionate about innovation, eager to learn, and ready to grow, DeSimone is where your potential meets possibility. Join us and help build the future. About the Role: As an Engineer at DeSimone Consulting Engineering, you'll contribute to the structural design process across a variety of projects. Working under the guidance of senior team members, you'll perform structural analysis, assist in design development, and support project delivery from concept through construction. This role offers hands-on experience with technical design, site observations, and collaboration with multidisciplinary teams while building a strong foundation for professional growth. What You'll Do: Perform structural design and analysis using software tools such as Revit and Rhino. Model building foundation and superstructure systems and design structural elements. Prepare structural drawings, technical reports, and documentation. Conduct field observations and inspections under senior guidance. Review submittals, shop drawings, and RFIs for accuracy and compliance. Maintain clear records of all design calculations and work products. Communicate effectively with teammates, clients, and management to ensure project success. Support project planning and contribute to internal operations, including timesheets and compliance with safety standards. What We're Looking For: Bachelor of Science Degree in Structural or Civil Engineering, or a related field, from an ABET-accredited program and one (1) or more years of relevant coursework in structural analysis and design Internship experience with a structural engineering firm with exposure to mid to high-rise building projects Coursework in concrete, steel, wood and masonry design Must pass basic engineering skills test Minimum (Required) Skills: Ability to learn local and national building codes required for project work Knowledge of standard construction practices and the ability to work with contractors to address construction issues Ability to work in Rhino and Revit Strong verbal and written communications skills Detail-oriented with strong people and team skills Preferred Qualifications & Skills: Master of Science Degree in Structural or Civil Engineering from an ABET-accredited program 1-2 years of experience on mid to high-rise building projects EIT certification At DeSimone, we believe in transparency when it comes to salary and hourly rates for our job postings. Our pay range represents the range of salaries or hourly rates that we think, in good faith, we might be willing to pay, for the posted job in the specified location(s). This position is classified as salaried, exempt. The hiring salary range for this role is anticipated to be $70,000 - $78,000 dependent upon experience and qualifications. For this particular position, we expect to hire near the middle of the range. We understand that there may be rare and exceptional circumstances where an external candidate has experience, credentials, or expertise that far exceed those required or expected for the position. In these cases, we may consider paying a salary or rate near the higher end of the range. We appreciate your interest in DeSimone and look forward to reviewing your application. DeSimone is an equal employment opportunity (EEO) employer.

DIVISION: Information Technology Services (ITS) DEPARTMENT: ITS Infrastructure/Enterprise Platform BASIC FUNCTIONS: The Cloud Engineer II designs, deploys, and maintains Fairfield University's cloud ecosystems, including Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft 365. Reporting to the Core Systems Lead, this role drives the implementation of scalable, secure, and high-performing cloud solutions, optimizing infrastructure to support the university's academic, administrative, and research missions. PRIMARY RESPONSIBILITIES Cloud Infrastructure Management Administer and enhance cloud platforms, including Microsoft Azure, AWS, GCP, and Microsoft 365, ensuring operational reliability and performance. Oversee cloud-based resources such as virtual machines, storage, networking, and identity services, maintaining availability and scalability. Implement Infrastructure as Code (IaC) using tools like Terraform, Azure Resource Manager (ARM) Templates, or AWS CloudFormation to automate and standardize deployments. Cloud Security & Compliance Enforce security best practices, leveraging role-based access control (RBAC), multi-factor authentication (MFA), and encryption to protect cloud assets. Collaborate with Security and Identity teams to align cloud operations with university policies and industry standards (e.g., NIST, ISO 27001). Design and test backup, disaster recovery (DR), and business continuity plans for cloud workloads, ensuring minimal downtime and data loss. Automation & Optimization Develop automation scripts (e.g., PowerShell, Python) to simplify repetitive tasks, accelerate deployments, and reduce manual errors. Integrate monitoring and logging tools such as Azure Monitor, AWS CloudWatch, or Google Cloud Operations Suite to proactively manage performance and incidents. Analyze usage metrics to optimize cloud costs, improve resource efficiency, and enhance scalability, delivering actionable recommendations to leadership. GENERAL RESPONSIBILITIES Stay informed on emerging cloud technologies, trends, and best practices, sharing insights with peers and the Director to foster continuous improvement. Provide timely support to campus users, resolving technical issues via phone, in-person visits, or remote diagnostics. Uphold a safe and secure work environment by promoting proper equipment use, reporting hazards, and adhering to safety protocols. To be an active partner with our University Community. Represent ITS as a collaborative and service-oriented partner within the university community, aligning with departmental goals of efficiency and excellence. Attend training, seminars, and team meetings to expand technical expertise and enhance communication skills. UNUSUAL WORK CONDITIONS: Occasional after-hours work and on-call availability may be required to support system upgrades, maintenance windows, or critical incidents. EDUCATION: Bachelor's degree in Computer Science, Information Technology, or a related field; OR an Associate's degree in a related field with at least two (2) years of hands-on experience managing cloud infrastructure. KNOWLEDGE, SKILLS, AND EXPERIENCE: 2+ years of experience administering Azure, AWS, or GCP environments. Proficiency with cloud networking (e.g., VPCs, subnets), storage (e.g., Blob, S3), and compute services (e.g., VMs, EC2). Demonstrated ability to troubleshoot and resolve cloud infrastructure issues efficiently. Experience analyzing performance metrics and implementing optimization strategies. Strong collaboration skills to engage with Systems, Security, and Identity teams effectively. Clear and concise documentation skills for maintaining runbooks, procedures, and architecture diagrams. PREFERED EXPERIENCE: Hands-on experience with cloud security frameworks, including Identity and Access Management (IAM) policies in Azure AD, AWS IAM, or Google IAM. Familiarity with Zero Trust security principles and cloud governance models. Working knowledge of IaC tools (Terraform, CloudFormation, ARM Templates) for repeatable deployments. Experience managing Microsoft 365 services (e.g., Exchange Online, SharePoint, Teams). Relevant certifications (e.g., AWS Certified Solutions Architect, Microsoft Azure Administrator, Google Cloud Associate Cloud Engineer). SUPERVISION OF PERSONNEL: None REPORTS TO: Core Systems Lead This position is not eligible for immigration assistance. Category: ITS - Admin Performs such other duties, responsibilities, and activities as required by supervisor and as departmental/University needs indicate. *Disclaimer The above information indicates the general nature and level of work performed by employees within this classification. It is not designed to contain and should not be interpreted as a comprehensive inventory of all duties, responsibilities, activities, and/or qualifications required or expected of employees assigned to this job. Duties, responsibilities, and activities may change and new ones may be assigned at any time, with or without notice. All offers of employment are contingent upon a satisfactory background check. Fairfield University provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Load a resume or CV first, then upload supporting documents including a cover letter at the bottom of the third page under the "My Experience" section where it says to upload a Resume/CV . You will be able to upload up to 5 other documents in this section. You will be unable to edit your application, so please have all documents available before applying. Faculty Positions: If you need to upload more than 5 documents, please either combine them to upload or email the additional documents to the applicable contact in the job description. Staff positions: If you need to upload more than 5 documents, please either combine them to upload or email them to ****************

Job Description We are seeking an AI Engineer to join our team. The successful candidate will play a critical role in developing, optimizing, and deploying advanced AI workflows and tools. The role offers a unique opportunity to work on cutting-edge technologies that directly impact our investment strategies. Responsibilities Design and implement systems incorporating large language models (LLMs), vector databases, and other artificial intelligence tools for a variety of quant research applications, including literature review, data search, and code generation. Deploy, monitor, and enhance AI systems, ensuring that solutions are scalable. Partner with portfolio quant researchers to develop AI tools that address specific market opportunities and challenges. Stay abreast of the latest AI developments, contributing to internal thought leadership and pushing the envelope of what can be achieved. Deploy AI models in production environments, ensuring seamless integration with existing infrastructure and real-time market data feeds. Identify potential risks related to AI and ensure appropriate safeguards are in place, especially with regard to model bias and robustness Requirements Minimum 2 years of hands-on experience working with LLMs, AI or deep learning in a high-performance environment Experience working with large-scale datasets and deploying machine learning models in production Knowledge of modern NLP techniques and frameworks (e.g., tokenizers, transformers, embedding models.) Familiarity with machine learning platforms and tools (e.g., PyTorch, HuggingFace, OpenAI) Strong understanding of algorithmic trading and financial data is a plus Excellent problem-solving abilities, with the capacity to translate complex business requirements into innovative technical solutions Benefits Competitive salary plus bonus based on performance Collaborative, casual, and friendly work environment Pre-tax commuter benefit Weekly company meals Trexquant is an Equal Opportunity Employer

Weston & Sampson is currently seeking a Hydrologic & Hydraulic Project Manager with 5+ years of experience for a position in our Water Discipline out of our Suffern, NY office location. The position will focus on projects that involve hydrologic and hydraulic modeling in complex urban environments and integrating coastal, riverine, and piped infrastructure flooding environments. What you'll do: Typical projects include: Rainfall-runoff models to support dam safety, climate resilience planning Evaluation of complex hydraulic settings, including combinations of open channel, piped infrastructure, rain-on-grade, and coastal flooding Reservoir mass balance modeling incorporated into innovative client/user interfaces Dam safety related projects such as design flood identification, dam rehabilitation alternatives analyses, breach analyses, and inundation mapping Supervise, train, and mentor less experienced project engineers and designers Support the evaluation, study, and design of stormwater systems for municipal clients, including providing stormwater master planning services and designs to support both flood mitigation and water quality improvements Provide field evaluation and assessment of existing stormwater infrastructure Support the design of green infrastructure and nature-based solutions for treatment of stormwater Conduct and coordinate analyses and computer-aided evaluations of surface water systems, including watersheds, rivers, and lakes Model and design stormwater BMPs, green infrastructure, and LID projects Prepare FEMA Letter of Map Revision applications Participate in site project designs Communicate and prepare written, verbal, and technical information clearly and effectively with clients and internal multidisciplinary teams Assist with business development, marketing, and proposal preparation What you will bring: Bachelor's in Civil or Environmental Engineering, Hydrology, or similar degree is required. Master's is a plus 5+ years' experience of surface water hydrology and collection system hydraulics Experience developing HydroCAD, HEC-HMS, HEC-RAS, PCSWMM, and ICM, as well as 2D (required experience) and 3D (preferred experience) numerical modeling Experience developing models to support a wide range of project types, such as stormwater drainage infrastructure and BMP design, green infrastructure and LID projects, coastal flooding analyses, and dam safety projects Certified Floodplain Manager preferred Project management experience, to include technical oversight and QA/QC experience Marketing, proposal development and client management experience preferred Valid driver's license is required for limited travel to client meetings Salary Range: $95,400 - $122,110 based on experience #LI-Hybrid Overview Weston & Sampson is an 100% employee-owned, full-service environmental and infrastructure consulting firm made up of more than 1,000 professionals, who work together to develop innovative, cost-effective solutions for our clients. Since our founding in 1899, Weston & Sampson's mission has been to protect, improve, and sustain the natural and built environment to enhance the quality of life. As we grow, we are seeking dedicated technical and professional individuals who want to collaborate on meaningful projects with a team that respects and values their ideas. Weston & Sampson offers a flexible work environment, competitive compensation, industry-leading benefits, and exciting career growth opportunities-all in a supportive and dynamic corporate culture that embraces diverse perspectives and recognizes people for their contributions. Weston & Sampson is an Equal Opportunity Employer. We embrace the rich perspectives and experiences that arise from people of different races, ethnicities, cultures, sexual orientation, gender identities, ages, socio-economic statuses, abilities, and religions, as well as other untapped groups, within our Weston & Sampson family and the communities we serve. Weston & Sampson is committed to the principles of Inclusion, Diversity, Equity, and Access (IDEA). Our goal is to foster a sense of belonging and equitable representation across our organization and to empower our employees to incorporate IDEA values into the work they perform. Your world is always changing, and so are we. Join us as we grow: *********************************************** A Note to Third-Party Recruiters: Weston & Sampson coordinates all recruiting and hiring at our company. We do not accept unsolicited resumes from third-party recruiters, staffing agencies, or related firms. Resumes are only accepted if a signed agreement is in place. All unsolicited resumes will be considered the property of Weston & Sampson. Weston & Sampson is not responsible for any fees related to unsolicited resumes. #midlevelprofessionals #seniorlevelprofessionals

Job Description Qualifications: The successful candidate should possess the following requirements: A Bachelors degree in engineering or similar discipline is required. 3+ years work experience in an engineering capacity in a manufacturing environment. Practical / Technical knowledge of Welding Engineering is advantageous. Proven track record of project development and management. Analytical, logical, and data driven with demonstrated troubleshooting skills as it relates to production equipment. Understanding of lean principles and ability to implement improved processes Working knowledge of health, safety and environmental best practices Excellent written and oral communication skills. Able to make independent decisions as well as operate in a team environment. Strong Solid Works / AutoCAD skills. Must be proficient in MS Office (Word, Excel, PowerPoint). Responsibilities: The Manufacturing Engineer II will be responsible for the planning, development, implementation and maintenance of manufacturing equipment and processes for new and existing products (resilient metallic seals). Primary responsibility will be to support and update our systems to ensure our production schedule can operate smoothly. In addition they will provide engineering support to the Production floor. This support will include utilizing sound technical knowledge of materials, processes, techniques and products to improve on product performance and to reduce costs, to maximize production, and support new knowledge. The incumbent manages and documents projects and tasks effectively under minimal supervision by a technical leader, demonstrates an open and collaborative approach in all areas of responsibility, and seeks out others to enhance and streamline development and decision making. Comments/Special Instructions What is the working schedule for this position 8-5pm is there a specific amount that you would like the candidates submitted Ideally at the midpoint.What experiences will stand out on a resume for this position (Must haves VS Nice to have) Experience with ERP systems and manufacturing environment (specifically metals would be highly advantageous) Will there be a possibility of an extension for this role or is this a temp- to -perm We are hiring for permanent engineer. What would the interview process look like (in-person or teams, will there be a 2nd interview) Onsite in person with Engineering Manager Does the worker need to come with PPE, or will it be provided if required if needed They will require safety toed shoes we can provide everything else.

**Our Purpose** _Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._ **Title and Summary** Privacy Engineer Overview: Mastercard is committed to balancing innovation while protecting individual privacy and has embraced privacy and data protection as core to the successful execution of our business strategy. As part of that commitment, Mastercard has established a world-class privacy program and is adding talent to our global team. The Privacy and AI Responsibility team is looking for a Privacy Engineer to drive our Privacy and Data Governance strategy forward by consistently innovating and problem-solving. She/he is passionate about the customer experience journey, highly motivated, intellectually curious, analytical, and possesses an entrepreneurial mindset. The Privacy Engineer will support Mastercard's Services Division on the development and deployment of the Data Commercialization Platform (DCP). The DCP is the cloud-based platform for hosting and performing analytics and AI modeling on all of Mastercard's data products. The role will drive the organizational excellence on privacy preserving technological safeguards and support the organization's compliance with global data laws, including the EU General Data Protection Regulation ("GDPR") and data privacy laws and regulations globally. The Privacy Engineer ensures that thorough privacy engineering review is carried out in the context of data processing and AI modeling. She/he is responsible for identifying and implementing privacy requirements to enhance Mastercard privacy and security controls in partnership with Mastercard's technology and business teams. The position requires a strong understanding of the complex data, AI and privacy landscape, strong understanding of technology, and an ability to develop creative solutions to ensure compliance with privacy and data protection laws globally. The position will report to the VP, Privacy Engineering. The ideal candidate will have the ability to think and act strategically with respect to the needs of business clients and their objectives. Role: Conduct the technical review of Mastercard Data Platform processes and data products, including advising on privacy by design (PbD) controls such as deidentification techniques, privacy enhancing technologies and the governance of data and AI in cloud infrastructures. Analyze technical designs and implementations, work with stakeholders to develop technical solutions to remediate and mitigate privacy risks in designs, procedures and processes. Engage with technical and business teams on privacy engineering review to ensure that privacy requirements pertaining to data processing are carried out throughout Mastercard's technology and product life cycle. Partner with the privacy attorneys, technology and business teams to establish appropriate legal and technical safeguards such as Data Privacy Contracts and Usecase privacy assessments to foster privacy compliance across the company (including acquisitions). Develop and organize technical and engineering controls to help demonstrate compliance with Mastercard's PbD process and Binding Corporate Rules, anticipating questions from various stakeholders internally and externally. Translate Privacy Risks following from Privacy Impact Assessments into technical and administrative PbD controls with a user-first approach, driving execution across cross-functional teams. Identify opportunities to implement privacy guardrails and controls within business workflows and tech solutions, and to work with stakeholders to implement these guardrails and controls Create concise requirements to automate privacy controls and compliance obligations. Own the execution of regular privacy compliance assessments, identifying and mitigating risks with effective tools, training, and guidance. Lead updates on the program progress and issues with executive stakeholders. All About You: Strong command of Cloud-based data analytics and controls for Data Product creation, governance and use. Experience with Databricks Data Analytics platforms, Atlan Electronic Data Catalog and Onetrust Privacy management tools is highly desired along with knowledge and experience in implement PbD methodologies and technical controls in those tools. Experience with governance processes and tools such as privacy code checkers, YAML data contracts is highly desirable Degree in computer science, software engineering, mathematics, or related field preferred. Demonstrated interest in privacy and/or corporate security (completion of IAPP courses, CIPM/CIPT/CISSP certifications) Familiarity with the GDPR and privacy principles that are common across global laws and regulations. Strong writing skills and ability to simplify technical material for other audiences, including business teams, legal departments, regulators, etc. Strong collaboration, interpersonal and organizational, problem solving and analytical skills Ability to develop a deep understanding of Mastercard products and services and financial services in general Familiarity with CI/CD practices, agile development of privacy and security protocols, standards and best practices, web application deployment and provisioning tools. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. **Corporate Security Responsibility** All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: + Abide by Mastercard's security policies and practices; + Ensure the confidentiality and integrity of the information being accessed; + Report any suspected information security violation or breach, and + Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. **Pay Ranges** Purchase, New York: $137,000 - $218,000 USD

DIVISION: Information Technology Services (ITS) DEPARTMENT: ITS Infrastructure/Enterprise Platform BASIC FUNCTIONS: The Cloud Engineer II designs, deploys, and maintains Fairfield University's cloud ecosystems, including Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft 365. Reporting to the Core Systems Lead, this role drives the implementation of scalable, secure, and high-performing cloud solutions, optimizing infrastructure to support the university's academic, administrative, and research missions. PRIMARY RESPONSIBILITIES * Cloud Infrastructure Management * Administer and enhance cloud platforms, including Microsoft Azure, AWS, GCP, and Microsoft 365, ensuring operational reliability and performance. * Oversee cloud-based resources such as virtual machines, storage, networking, and identity services, maintaining availability and scalability. * Implement Infrastructure as Code (IaC) using tools like Terraform, Azure Resource Manager (ARM) Templates, or AWS CloudFormation to automate and standardize deployments. * Cloud Security & Compliance * Enforce security best practices, leveraging role-based access control (RBAC), multi-factor authentication (MFA), and encryption to protect cloud assets. * Collaborate with Security and Identity teams to align cloud operations with university policies and industry standards (e.g., NIST, ISO 27001). * Design and test backup, disaster recovery (DR), and business continuity plans for cloud workloads, ensuring minimal downtime and data loss. * Automation & Optimization * Develop automation scripts (e.g., PowerShell, Python) to simplify repetitive tasks, accelerate deployments, and reduce manual errors. * Integrate monitoring and logging tools such as Azure Monitor, AWS CloudWatch, or Google Cloud Operations Suite to proactively manage performance and incidents. * Analyze usage metrics to optimize cloud costs, improve resource efficiency, and enhance scalability, delivering actionable recommendations to leadership. GENERAL RESPONSIBILITIES * Stay informed on emerging cloud technologies, trends, and best practices, sharing insights with peers and the Director to foster continuous improvement. * Provide timely support to campus users, resolving technical issues via phone, in-person visits, or remote diagnostics. * Uphold a safe and secure work environment by promoting proper equipment use, reporting hazards, and adhering to safety protocols. * To be an active partner with our University Community. * Represent ITS as a collaborative and service-oriented partner within the university community, aligning with departmental goals of efficiency and excellence. * Attend training, seminars, and team meetings to expand technical expertise and enhance communication skills. UNUSUAL WORK CONDITIONS: Occasional after-hours work and on-call availability may be required to support system upgrades, maintenance windows, or critical incidents. EDUCATION: Bachelor's degree in Computer Science, Information Technology, or a related field; OR an Associate's degree in a related field with at least two (2) years of hands-on experience managing cloud infrastructure. KNOWLEDGE, SKILLS, AND EXPERIENCE: * 2+ years of experience administering Azure, AWS, or GCP environments. * Proficiency with cloud networking (e.g., VPCs, subnets), storage (e.g., Blob, S3), and compute services (e.g., VMs, EC2). * Demonstrated ability to troubleshoot and resolve cloud infrastructure issues efficiently. * Experience analyzing performance metrics and implementing optimization strategies. * Strong collaboration skills to engage with Systems, Security, and Identity teams effectively. * Clear and concise documentation skills for maintaining runbooks, procedures, and architecture diagrams. PREFERED EXPERIENCE: * Hands-on experience with cloud security frameworks, including Identity and Access Management (IAM) policies in Azure AD, AWS IAM, or Google IAM. * Familiarity with Zero Trust security principles and cloud governance models. * Working knowledge of IaC tools (Terraform, CloudFormation, ARM Templates) for repeatable deployments. * Experience managing Microsoft 365 services (e.g., Exchange Online, SharePoint, Teams). * Relevant certifications (e.g., AWS Certified Solutions Architect, Microsoft Azure Administrator, Google Cloud Associate Cloud Engineer). SUPERVISION OF PERSONNEL: None REPORTS TO: Core Systems Lead This position is not eligible for immigration assistance. Category: ITS - Admin Performs such other duties, responsibilities, and activities as required by supervisor and as departmental/University needs indicate. * Disclaimer The above information indicates the general nature and level of work performed by employees within this classification. It is not designed to contain and should not be interpreted as a comprehensive inventory of all duties, responsibilities, activities, and/or qualifications required or expected of employees assigned to this job. Duties, responsibilities, and activities may change and new ones may be assigned at any time, with or without notice. All offers of employment are contingent upon a satisfactory background check. Fairfield University provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Load a resume or CV first, then upload supporting documents including a cover letter at the bottom of the third page under the "My Experience" section where it says to upload a Resume/CV. You will be able to upload up to 5 other documents in this section. You will be unable to edit your application, so please have all documents available before applying. Faculty Positions: If you need to upload more than 5 documents, please either combine them to upload or email the additional documents to the applicable contact in the job description. Staff positions: If you need to upload more than 5 documents, please either combine them to upload or email them to ****************

Must Have Technical/Functional Skills Strong Knowledge in AWS migration from VMC to AWS Native services Roles & Responsibilities * Your role as a Senior AWS Cloud Engineer with 8+ years experience * Work on migrating VM's & applications from an VMC to the AWS cloud service providers * Quickly understand how the on-prem implementation is working and implement the roadmap to migrate the application to cloud * Develop products and services on the latest technologies through contributions in development, enhancements, testing and implementation. * Effectively leverage the popular open-source components and home-grown frameworks * Develop, modify, extend code for building cloud infrastructure, and automate using CI/CD pipeline. * Partners with business and peers in the pursuit of solutions that achieve business goals through an agile software development methodology. * Perform problem analysis, data analysis, reporting, and communication. * Work with peers across the system to define and implement best practices and standards. * Assess applications and help determine the appropriate application infrastructure patterns. * Use best practices and knowledge of internal or external drivers to improve products or services. What we are looking for: * Hands-on experience in building/implementing cloud platforms/applications on AWS platform. * Expertise in AWS Compute (EC2, EMR), AWS Storage (S3, EBS), AWS Databases (RDS, DynamoDB), AWS Data Integration (Glue), Lambda and AWS Core services. * Good understanding of AWS Identify and Access management, AWS Networking and AWS Monitoring tools. * Proficiency in CI/CD and deployment automation using GITLAB pipeline. * Proficiency in Cloud infrastructure provisioning tools e.g., Terraform. * Expert level skills in SQL queries in databases like Oracle, SQL Server Salary Range : $110,000-$120,000 a year #LI-NR3 TCS Employee Benefits Summary: Discretionary Annual Incentive. * Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. * Family Support: Maternal & Parental Leaves. * Insurance Options: Auto & Home Insurance, Identity Theft Protection. * Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. * Time Off: Vacation, Time Off, Sick Leave & Holidays. * Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Job Description About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients recruitment operations. We partner directly with: AI-first startups building products powered by LLMs, generative AI, intelligent automations, Established tech companies: scaling their ML infrastructure, recommendation systems, and data platforms, and Enterprise innovation teams integrating AI into traditional domains such as finance, healthcare, and logistics. We collaborate directly with founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Our Client Is a San Francisco based startup building a GenAI-native platform that automates one of the most complex, time-consuming challenges in finance and Tax and turning dense tax documents into structured, usable data in minutes. Their system processes everything from K-1s and K-3s to intricate footnotes with near-human precision, achieving over 99% accuracy on income lines and streamlining workflows across Excel and API integrations. They serve some of the most sophisticated players in private wealth, and asset management, helping them move faster and make better decisions in an industry where accuracy and speed define competitiveness. Backed by seasoned founders and AI leaders from top-tier tech companies like facebook and salesforce, this team combines product craftsmanship with cutting-edge machine learning to bring intelligence to a domain that has long resisted automation. Recently acquired by a global technology leader, the company now operates with the mindset, pace, and creative autonomy of a startup but with the stability, benefits, and resources of an established enterprise. Youll be joining a team of proven builders whove scaled products to acquisition, engineered systems that power billions of data points, and are now applying GenAI to redefine how financial data is understood, structured, and acted upon. Location: Union Square, San Francisco Work type: Full Time, 5 days a week On-Site. Compensation: above market base + bonus + equity Visa: sponsorship available for candidates with demonstrated brilliance and expertise. What we are looking for Were seeking an Applied AI / ML Engineer with 5+ years of experience building and scaling commercial machine learning systems in meaningful ownership roles, especially with document understanding and extraction. You are an exceptional builder who thrives at the intersection of real world features and AI/ML engineering, someone who not only understands how models work, but also how to use them to deliver real, measurable value to end users. This role is central as they scale their GenAI-native platform for tax document processing, combining the velocity of a startup with the backing of resources and reach of a large multi national firm. Roles & Responsibilities Build and scale the ML and product infrastructure that powers intelligent tax document processing at production scale. Design and optimize inference systems, dataset pipelines, and specific logic to improve accuracy, speed, and quality as we expand to millions of documents. Collaborate closely with accountants and tax domain experts to deeply understand workflows, pain points, and quality thresholds translating insights into productized ML systems. Integrate inference pipelines into a seamless, end-to-end experience that transforms how tax professionals process and interpret documents. Develop expert systems that encode institutional tax knowledge into scalable, maintainable software components. Drive experiments, measure outcomes, and iterate rapidly on core ML metrics. Collaborate cross-functionally with product, engineering, and leadership to shape technical direction and influence product vision. Qualifications Core Experience 4+ years of experience in machine learning / AI engineering with proven end-to-end ownership of ML-powered products. Strong track record of building systems that create direct user value, not just research prototypes or internal tooling. Demonstrated ability to work with large, complex datasets, optimizing for accuracy, scalability, and reliability. Strong fundamental understanding of how to build, measure, and iterate on ML systems and ML-powered enterprise or consumer products. Comfortable with Python and popular ML libraries (e.g. pandas, scikit-learn, spa Cy, pytorch, tensorflow, keras), cloud providers such as GCP/AWS, container technologies (e.g. Docker, Kubernetes), web application development including Python-based web servers (e.g. Flask, Django), and database and storage layers (e.g. Postgres, SQL, S3/GCS). Experience deploying or integrating LLMs, LLM APIs, Agents and prompt engineering into production systems. Strong Python proficiency and hands-on familiarity with ML infrastructure and data workflows. Experience in document understanding, OCR, or applied NLP. Exposure to financial or tax-related data environments. Startup or 01 product experience. Soft Skills Exceptional problem-solving ability, curiosity, and product intuition. Strong communication skills with the ability to engage directly with domain experts and translate complex needs into technical solutions. Growth trajectory demonstrated through promotions or increasing scope of responsibility. Other roles in Applied AI / ML in the US, check them out here: Applied AI / ML engineer focusing on LLMs, and Knowledge Graphs: [*******************************************

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets. We are more than 36,000 people, in over 70 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world's most complex challenges and deliver more impact together. JOB DESCRIPTION Arcadis is seeking talented entry level engineers to join our team in various roles, including Water/Wastewater, Structural, Electrical, and Mechanical Engineering, as part of the Resilience Water line of our business supporting projects with Westchester County. At Arcadis, you will engage in designing and implementing innovative solutions that tackle critical challenges in your field, from improving water quality and infrastructure resilience to creating sustainable systems that enhance the communities we serve. Collaborating with a team of experienced professionals, you will interact directly with clients, enhance your technical capabilities, and contribute to projects that positively impact the environment and quality of life, supporting our world-class engineers and high-profile projects. We are specifically seeking candidates who are from Westchester County or are willing to relocate, and who are looking to build a long-term career in the area. ROLE ACCOUNTABILITIES Water/Wastewater Resources Engineer: As an Entry-Level Water Resources Engineer, you will be responsible for a diverse array of tasks related to the evaluation, planning, design, and management of water and wastewater projects, including pipelines, treatment, and pumping facilities. Your role will require exercising judgment on intricate details, making preliminary engineering selections, and actively participating in fieldwork such as site visits, construction inspections, and water quality analysis. You will support professional engineering services during the construction phase by observing construction, reviewing shop drawings, responding to RFIs, and ensuring permit closeouts. Additionally, you will coordinate with manufacturers and contractors, support asset management projects through data analytics and assessments, and prepare reports, presentations, and cost estimates while participating in client meetings. Your contributions will be vital in executing water resources projects and maintaining high-quality standards throughout the process. Structural Engineer: As an Entry-Level Structural Engineer, you will be involved in water and wastewater design engineering and construction projects, focusing on design calculations, technical reports, permitting, and detailed plans and specifications for various projects such as plant upgrades, storage facilities, pipelines, stormwater systems, pump stations, and distribution systems. You will conduct structural investigations and planning work, collaborate with diverse engineering disciplines, manage project timelines, and ensure compliance with Arcadis standards. Success in this role requires strong structural analysis skills, exceptional problem-solving abilities, and a team-oriented mindset. You should be flexible, eager to take ownership of tasks, and familiar with software like MathCAD, STAAD, AutoCAD, and Revit. Your strong educational background and ability to work productively both independently and as part of a team will be crucial in effectively serving clients and managing project scopes, budgets, and schedules. Mechanical Engineer: As an Entry-Level Mechanical Engineer, you will join design teams to create construction-ready drawing packages with inter-discipline coordination, focusing on capacity, redundancy, reliability, efficiency, safety, constructability, and cost. You will build strong industry relationships and travel to project sites for surveys, data collection, and client collaboration. Your role requires knowledge of industry standards such as ASHRAE, ASME, and international standards like IEC, alongside familiarity with HVAC, plumbing, and fire protection system design using software like AutoCAD and Revit. You'll develop analytical and troubleshooting skills, contribute to complex projects, conduct system studies, and support proposal efforts to secure design work. Additionally, you will work with designers to produce sealed drawings and receive mentoring from senior staff, enhancing your inter-disciplinary knowledge of facility systems. Electrical Engineer: As an Entry-Level Electrical Engineer, you will provide electrical engineering support for water and wastewater facilities. This role offers opportunities to work on both small and large-scale industrial utility projects. Your focus will be on technical and design consulting services, particularly in electrical power distribution, motor controls, lighting, and communications, supporting the Infrastructure Design Services Group in the Water Business Line. You will assist Senior Electrical Engineers on large projects and participate in design efforts for smaller ones, including establishing design criteria and developing schematics under supervision. This role involves project management skill development, proficient use of CAD programs, performing system analysis with tools like ETAP, and providing construction management services. You will conduct field inspections, review submittals, and ensure safety compliance, with some travel required. Qualifications & Experience: Required: B.S. in Civil Engineering, Water Resources Engineering, Structural Engineering, Electrical Engineering, or Mechanical Engineering EIT or ability to obtain within one year of hire Preferred: Prior work or internship experience in engineering consulting Knowledge/experience with MathCAD, AutoCAD, Revit Experience with water/wastewater facility and/or heavy industrial structural analysis and design Design experience producing IFC drawings for industrial & manufacturing facilities. Awareness and/or knowledge of local, national and/or international building codes, including but not limited to, IBC, National Electrical Code, etc. Why Arcadis? We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It's why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together. You'll do meaningful work, and no matter what role, you'll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you. Together, we can create a lasting legacy. Join Arcadis. Create a Legacy. Our Commitment to Equality, Diversity, Inclusion & Belonging We want you to be able to bring your best self to work every day which is why we take equality and inclusion seriously and hold ourselves to account for our actions. Our ambition is to be an employer of choice and provide a great place to work for all our people. We are an equal opportunity and affirmative action employer. Women, minorities, people with disabilities and veterans are strongly encouraged to apply. We are dedicated to a policy of non-discrimination in employment on any basis including race, creed, color, religion, national origin, sex, age, disability, marital status, sexual orientation, gender identity, citizenship status, disability, veteran status, or any other basis prohibited by law. Arcadis offers benefits for full time and part time positions. These benefits include medical, dental, and vision, EAP, 401K, STD, LTD, AD&D, life insurance, paid parental leave, reward & recognition program and optional benefits including wellbeing benefits, adoption assistance and tuition reimbursement. We offer nine paid holidays and 15 days PTO that accrue per year. The salary range for this position is $49,390 - $79,023 / per year. Actual salaries will vary and are based on several factors, such as experience, education, budget, internal equity, project and location.

We are seeking an AI Engineer to join our team. The successful candidate will play a critical role in developing, optimizing, and deploying advanced AI workflows and tools. The role offers a unique opportunity to work on cutting-edge technologies that directly impact our investment strategies. Responsibilities * Design and implement systems incorporating large language models (LLMs), vector databases, and other artificial intelligence tools for a variety of quant research applications, including literature review, data search, and code generation. * Deploy, monitor, and enhance AI systems, ensuring that solutions are scalable. * Partner with portfolio quant researchers to develop AI tools that address specific market opportunities and challenges. * Stay abreast of the latest AI developments, contributing to internal thought leadership and pushing the envelope of what can be achieved. * Deploy AI models in production environments, ensuring seamless integration with existing infrastructure and real-time market data feeds. * Identify potential risks related to AI and ensure appropriate safeguards are in place, especially with regard to model bias and robustness

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Privacy Engineer Overview: Mastercard is committed to balancing innovation while protecting individual privacy and has embraced privacy and data protection as core to the successful execution of our business strategy. As part of that commitment, Mastercard has established a world-class privacy program and is adding talent to our global team. The Privacy and AI Responsibility team is looking for a Privacy Engineer to drive our Privacy and Data Governance strategy forward by consistently innovating and problem-solving. She/he is passionate about the customer experience journey, highly motivated, intellectually curious, analytical, and possesses an entrepreneurial mindset. The Privacy Engineer will support Mastercard's Services Division on the development and deployment of the Data Commercialization Platform (DCP). The DCP is the cloud-based platform for hosting and performing analytics and AI modeling on all of Mastercard's data products. The role will drive the organizational excellence on privacy preserving technological safeguards and support the organization's compliance with global data laws, including the EU General Data Protection Regulation ("GDPR") and data privacy laws and regulations globally. The Privacy Engineer ensures that thorough privacy engineering review is carried out in the context of data processing and AI modeling. She/he is responsible for identifying and implementing privacy requirements to enhance Mastercard privacy and security controls in partnership with Mastercard's technology and business teams. The position requires a strong understanding of the complex data, AI and privacy landscape, strong understanding of technology, and an ability to develop creative solutions to ensure compliance with privacy and data protection laws globally. The position will report to the VP, Privacy Engineering. The ideal candidate will have the ability to think and act strategically with respect to the needs of business clients and their objectives. Role: Conduct the technical review of Mastercard Data Platform processes and data products, including advising on privacy by design (PbD) controls such as deidentification techniques, privacy enhancing technologies and the governance of data and AI in cloud infrastructures. Analyze technical designs and implementations, work with stakeholders to develop technical solutions to remediate and mitigate privacy risks in designs, procedures and processes. Engage with technical and business teams on privacy engineering review to ensure that privacy requirements pertaining to data processing are carried out throughout Mastercard's technology and product life cycle. Partner with the privacy attorneys, technology and business teams to establish appropriate legal and technical safeguards such as Data Privacy Contracts and Usecase privacy assessments to foster privacy compliance across the company (including acquisitions). Develop and organize technical and engineering controls to help demonstrate compliance with Mastercard's PbD process and Binding Corporate Rules, anticipating questions from various stakeholders internally and externally. Translate Privacy Risks following from Privacy Impact Assessments into technical and administrative PbD controls with a user-first approach, driving execution across cross-functional teams. Identify opportunities to implement privacy guardrails and controls within business workflows and tech solutions, and to work with stakeholders to implement these guardrails and controls Create concise requirements to automate privacy controls and compliance obligations. Own the execution of regular privacy compliance assessments, identifying and mitigating risks with effective tools, training, and guidance. Lead updates on the program progress and issues with executive stakeholders. All About You: Strong command of Cloud-based data analytics and controls for Data Product creation, governance and use. Experience with Databricks Data Analytics platforms, Atlan Electronic Data Catalog and Onetrust Privacy management tools is highly desired along with knowledge and experience in implement PbD methodologies and technical controls in those tools. Experience with governance processes and tools such as privacy code checkers, YAML data contracts is highly desirable Degree in computer science, software engineering, mathematics, or related field preferred. Demonstrated interest in privacy and/or corporate security (completion of IAPP courses, CIPM/CIPT/CISSP certifications) Familiarity with the GDPR and privacy principles that are common across global laws and regulations. Strong writing skills and ability to simplify technical material for other audiences, including business teams, legal departments, regulators, etc. Strong collaboration, interpersonal and organizational, problem solving and analytical skills Ability to develop a deep understanding of Mastercard products and services and financial services in general Familiarity with CI/CD practices, agile development of privacy and security protocols, standards and best practices, web application deployment and provisioning tools. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: * Abide by Mastercard's security policies and practices; * Ensure the confidentiality and integrity of the information being accessed; * Report any suspected information security violation or breach, and * Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges Purchase, New York: $137,000 - $218,000 USD

We are seeking an AI Engineer to join our team. The successful candidate will play a critical role in developing, optimizing, and deploying advanced AI workflows and tools. The role offers a unique opportunity to work on cutting-edge technologies that directly impact our investment strategies. Responsibilities Design and implement systems incorporating large language models (LLMs), vector databases, and other artificial intelligence tools for a variety of quant research applications, including literature review, data search, and code generation. Deploy, monitor, and enhance AI systems, ensuring that solutions are scalable. Partner with portfolio quant researchers to develop AI tools that address specific market opportunities and challenges. Stay abreast of the latest AI developments, contributing to internal thought leadership and pushing the envelope of what can be achieved. Deploy AI models in production environments, ensuring seamless integration with existing infrastructure and real-time market data feeds. Identify potential risks related to AI and ensure appropriate safeguards are in place, especially with regard to model bias and robustness Requirements Minimum 2 years of hands-on experience working with LLMs, AI or deep learning in a high-performance environment Experience working with large-scale datasets and deploying machine learning models in production Knowledge of modern NLP techniques and frameworks (e.g., tokenizers, transformers, embedding models.) Familiarity with machine learning platforms and tools (e.g., PyTorch, HuggingFace, OpenAI) Strong understanding of algorithmic trading and financial data is a plus Excellent problem-solving abilities, with the capacity to translate complex business requirements into innovative technical solutions Benefits Competitive salary plus bonus based on performance Collaborative, casual, and friendly work environment Pre-tax commuter benefit Weekly company meals Trexquant is an Equal Opportunity Employer