Machining engineer jobs in New Jersey

We are currently sourcing for a Principal Trading Engineer (Java, Algo, SOR) for crypto Trading to work in Jersey City, New Jersey. The Role The Principal Trading Engineering (Java, Algo, SOR) will be working in development and delivery of high quality, timely and maintainable software solutions in an Agile environment which meet functional and non-functional business requirements. This role will involve partner & stakeholder engagement, design and release support. In this role, you will be an integral part of the Trading Team where you'll get the opportunity to develop your skills, collaborate across Fidelity teams and continue to learn in a fun, collaborative, iterative, and rapidly changing environment. This is a hands-on role where you will write code for product features. It is a great opportunity to build secure, scalable, resilient cloud-based services utilizing modern software development practices. This is a hands-on, individual contributor role where you will be responsible for: Designing and implementing technology solutions for the Fidelity Digital Assets business High Performance algorithms for trading / crypto trading Working closely with our business partners to contribute to business-critical initiatives Demonstrate software engineering excellence through continuous integration, continuous deployment Keeps current with IT blueprint, frameworks and technologies that would benefit us and improve our productivity; guides junior team members on technology Collaborate with multiple stakeholders/large cross functional teams as part of work delivery Follows practices and contribute towards innovative solutions to increase productivity This is a hands-on role where you will write code for product features Set technical direction for software developers by concluding design with other tech leads and architecture The Expertise and Skills You Bring Bachelor's degree in computer science or related field required 10+ years of trading engineering experience Experience in Capital markets or cryptocurrency specifically with exposure to Trading, Algo Trading Strong background in designing and developing low latency trading systems Knowledge of WebSocket and FIX protocols Experience in building matching engine, OMS/EMS or exchange-connectivity platform Experience using kernel bypass e.g. Solarflare OpenOnLoad Extensive experience with modern Java using zero GC pattern Highly proficient in ultra-low latency design patterns and optimizing trading systems Hands on experience with low latency messaging products, such as Aeron, Solace or 29West Proficient in SQL and a working knowledge of relational and time series databases Experience with designing APIs, distributed systems, asynchronous workers and resilient messaging services An understanding of microservice architecture and cloud-based deployments An understanding of sequencer architecture Ability to build reliable software that can withstand unreliable environments Can provide leadership and mentorship across small, agile teams in a very collaborative environment where your ideas are welcome Solid analytical, communication, and organizational skills An interest in and experience with cryptocurrencies and a passion for keeping up to date in the space Have the drive and ability to deliver software with a high degree of automation Proficient with version control systems and can handle development for multiple releases in parallel Have the spirit and willingness to contribute to org level innovation Have a learning mindset and can demonstrate versatility in addition to your specialization Should have the ability to work effectively with both partners and project team members Have knowledge of Agile methodologies or iterative development processes Have knowledge of Acceptance test-driven development a plus. Have ability to take ownership Coach team members and take accountability for the deliverables Excellent collaboration and Interpersonal skills Great attitude, being a mentor, team player and effective contributor You have a focus on productivity The Team Fidelity Digital Assets , a Fidelity Investments Company, is developing a full-service enterprise-grade platform for storing, trading and servicing digital assets, such as Bitcoin and Ethereum. Fidelity Digital Assets adopts an entrepreneurial culture and startup approach while serving as one of the most innovative business units within Fidelity Investments. Our global, diverse team of hundreds of forward-thinking professionals lead with agility and creativity to build solutions that bridge the gap between traditional institutional investors and their exposure to digital assets. The firm's tenure and experience across multiple business lines present our employees with unprecedented access to knowledge, technology, and resources that help our team reshape the future of finance. The Fidelity Digital Asset Trading Team is responsible for platform services and APIs that manage trading of cryptocurrency. Platform contains a crossing engine and a smart router that would connect and send client orders to other exchanges and liquidity providers. In addition to aggregating market data and routing orders the platform also includes multiple internal/external facing user interfaces and API and services to support the platform. #cryptojobs The base salary range for this position is $126,000-255,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Certifications:Category:Information Technology

Elida Beauty is a Global Personal Care Business. We proudly support and nurture our portfolio of iconic brands globally. Our ambition is to remix classic beauty brands for a new generation, making them even bigger beauty hits than they were the first time around, to drive accelerated growth and value creation. Driven by creativity and agility, we unleash the true potential of beloved brands, ‘Re-Founding' them using a start-up mentality that always ‘finds a way'. Elida Beauty is a part of the Yellow Wood Partners portfolio of companies, a private equity company that invests exclusively in the consumer industry. Position Summary The Packaging Engineer will report to the Senior Director R&D. The candidate will support on the day-to-day development activities of innovation launches across liquids, creams and the non-woven product portfolio. They will work closely with cross-functional partners as well as the external network of suppliers to bring product ideas to life from concept to execution. This individual will have a technical competency and be responsible for the creation and upkeep of packaging specifications, coordinating package line trials with external partners, and developing package testing plans to support flawless NPDs. Primary Responsibilities Partner with Marketing, Operations, Procurement, Quality and Finance on developing new packaging through external suppliers. Ensuring that projects meet the brand's needs while meeting cost, quality, design and functional requirements. Manage the creation and upkeep of packaging component specifications in specification system. Develop testing plans for NPDs and execute with third party testing labs and component suppliers. Identify and implement cost savings initiatives. Visit on-site production startups and line trials to qualify new packaging componentry and new fillers. Maintain knowledge of external vendor capabilities. Stay current with new packaging material regulations and industry trends. Troubleshoot issues in production. Support ongoing base business to ensure stock coverage. Other support duties as needed. Required Qualifications Bachelor's degree in Packaging/Plastics/Mechanical/Industrial/Chemical Engineering, or related field. 3-5 years of proven experience in package engineering & development in consumer products, beauty, or related industry. Experience creating packaging specifications for manufacturing. A technical acumen with the ability to read and interpret technical drawings for components and assemblies. Strong carton board and paper experience. Demonstrated knowledge of various manufacturing processes including extrusion blow molding, ISBM, injection molding, printing and filling. Knowledge of various CPG packaging materials and their physical and chemical properties. Ability to partner effectively across a diverse set of business partners and customers to deliver key results in a timely manner. Entrepreneurial; Business owner mentality, willing to be hands-on and contribute as one team. Ability to tackle complex problems through critical thinking. Excellent communication skills, including spoken and written English. Ability to travel Domestic and International up to 25%. Strong PC skills: MS Office, PowerPoint, CAD software is a plus. Personal Attributes Positive and energetic individual with a strong business acumen, an abiding sense of urgency to achieve results. Consumer-centric, creative, and design-oriented. Inquisitive individual who has a history of seeking out best practices and successfully assimilating them into their organization. Invokes trust, collaboration, shared accountability, and continuous improvement with the ability to quickly develop trust and loyalty at all levels in the organization and with external partners. Knows what excellence looks like and how to get there. Ability to develop and implement strategy, with a high bias for execution and activation, comfort with getting hands dirty. Demonstrated track record of problem solving and priority setting. Diversity at Elida Beauty Diversity at Elida Beauty is about inclusion, embracing differences, creating possibilities, and growing together for better business performance. We embrace diversity in our workforce. This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.

This role drives complex capital projects, supports product innovation, and oversees construction initiatives. The position blends financial discipline, technical execution, and leadership of cross-functional teams. Responsibilities Capital Projects (50%): Lead end-to-end CapEx initiatives, managing budgets, schedules, and ROI analysis. Ensure projects meet financial and operational targets. Product Development (25%): Partner with R&D and operations to deliver new product launches, applying stage-gate processes and aligning design with manufacturing readiness. Construction (25%): Oversee site upgrades and facility expansion projects, coordinating contractors, safety compliance, and quality standards. Guide cross-functional teams, resolve issues, and manage risks to ensure on-time, on-budget delivery. Build strong stakeholder relationships and provide clear communication through project reviews and progress reporting. Serve as a subject matter expert in project management practices, tools, and training. Qualifications Bachelor's degree in Engineering required 7-10 years of project management experience in manufacturing environments PMP certification preferred; Lean/Six Sigma credentials a plus Strong building code experience Proven ability to lead diverse teams and manage complex initiatives across capital, product, and construction domains Less than 10% domestic travel required

Hello, We have 4 urgent openings for a "Principal Java Engineer ". These are hybrid roles in Jersey City, NJ (Hybrid - approximately 1 week onsite per month) Only looking for candidates who can work on W2 Strictly no C2C or third-party vendors Job title: Principal Java Engineer Client: Fidelity Title: Senior Java Engineer Location: Jersey City, NJ (Hybrid - approximately 1 week onsite per month) Duration: Long-term contract Rate: • $70 - $75/hr on 1099 • $75/hr on W2 Local candidates strongly preferred About the Role Fidelity is seeking an experienced Senior Java Engineer to join a high-performing engineering team responsible for building and enhancing cloud-native, high-performance backend systems. This role focuses on Core Java, AWS, and distributed microservices to support mission-critical financial platforms used across the organization. The ideal candidate is strong in backend development, cloud engineering, distributed databases, and large-scale system performance. Key Responsibilities • Design, develop, and optimize backend services using Core Java • Build and enhance microservices supporting high-throughput, low-latency financial workloads • Develop cloud-native solutions using AWS services such as Lambda, EC2, S3, CloudWatch, IAM, and API Gateway • Work extensively with distributed data stores including Cassandra for large-scale, resilient data processing • Implement RESTful APIs to support enterprise integration and platform connectivity • Ensure performance, scalability, security, and reliability across backend components • Collaborate closely with DevOps, QA, SRE, and Architecture teams • Participate in Agile ceremonies, code reviews, and engineering best-practice discussions • Troubleshoot production issues, optimize backend performance, and contribute to stability and resilience improvements • Support ongoing modernization, refactoring, and cloud-migration initiatives across Fidelity platforms Required Skills • Strong hands-on expertise in Core Java and backend engineering • Experience with AWS services (Lambda, EC2, S3, IAM, CloudWatch, SQS, etc.) • Hands-on experience with Cassandra or other distributed databases • Strong understanding of REST APIs, microservices, and distributed system patterns • Experience with CI/CD pipelines, containerization, and modern DevOps workflows • Solid debugging skills and ability to identify performance bottlenecks • Excellent communication and collaboration skills • Experience in financial services or large-scale enterprise environments is a plus ABOUT US: Anagh Technologies is a technical consulting firm specializing in UI, Front-End, and Full-Stack web technologies. We currently have 30+ positions in Angular, React, Node, and Java. If technically strong, we can 100% get you an offer within 2 weeks MAX, as we will consider you for multiple roles at once. If you are interested and are available, please email me your resume and contact information to arshad AT anaghtech.com. Thank you for your time.

Jacobs Levy Equity Management, located in Florham Park, NJ, is seeking a C# Engineer/Developer for application development. This role will assist in building and maintaining C# GUI and workflow application systems that support our financial application development. Primary Responsibilities The successful candidate will be responsible for developing and supporting the financial applications in the firm, including the following: Partner with Finance, Accounting and Compliance on how best to use the technology platform to optimize the business processes Collaborate with business users to gather requirements and incorporate User Experience (UX) enhancements to the workflow management applications Work closely with the development team to incorporate additional data feeds, and design and develop visual workflows Demonstrate a strong commitment to product quality: provide manual testing of the applications as needed and automate comprehensive testing Facilitate QA and UAT efforts for production systems Build scripts and utility tools to help the development team, as needed Requirements Master's degree in Engineering/Computer Science or equivalent 3+ years of experience in C# programming, industry experience with C++ is a big plus Must have working knowledge of back-office workflows and operations Strong knowledge of Accounting processes; Working knowledge of Advent Geneva is a big plus 3+ years of experience with Microsoft SQL Server 3+ years of experience in the financial services industry is preferred Able to deliver product enhancements on time with quality in a fast-paced environment Good communication skills and the ability to work well in a team Strong troubleshooting and reasoning skills

Greymatter Innovationz helps you stay digitally relevant across domains, technologies, and skillsets, every day. We are looking for: Lead AWS Cloud Engineer - Databricks Platform Duration: Contract Or FTE Position Overview: We are seeking a highly skilled and experienced AWS Cloud Engineer with a strong background in Databricks to join our dynamic cloud engineering team. The ideal candidate will have extensive experience in designing, deploying, and managing cloud infrastructure on AWS, along with in-depth expertise in the Databricks platform for data engineering, analytics, and machine learning workloads. The candidate should also have prior leadership experience, as they will be responsible for guiding a team of engineers in cloud-related initiatives, best practices, and ensuring the successful delivery of data-driven solutions. Key Responsibilities: Cloud Infrastructure Design & Implementation: Lead the design, implementation, and optimization of scalable and secure AWS cloud solutions. Utilize AWS services such as EC2, S3, Lambda, RDS, VPC, IAM, and others for building robust cloud-based architectures. Work closely with the architecture team to define infrastructure requirements and recommend suitable AWS technologies. Databricks Platform Expertise: Leverage Databricks for building and managing data pipelines, running Spark-based analytics workloads, and orchestrating machine learning models. Design, optimize, and maintain Databricks clusters and notebooks for data processing, transformation, and analysis. Integrate Databricks with other AWS services (e.g., S3, Redshift, Glue) to build comprehensive end-to-end data solutions. Provide leadership in best practices for working with Databricks to ensure reliability, scalability, and efficiency of data workflows. Leadership & Mentoring: Lead a team of cloud engineers, guiding them in implementing solutions that align with organizational goals and industry best practices. Mentor junior team members and provide technical guidance on cloud-related projects, Databricks integration, and infrastructure optimization. Facilitate cross-functional collaboration between engineering, data science, and business teams. Automation & Optimization: Automate cloud infrastructure provisioning and management using Infrastructure-as-Code tools (e.g., Terraform, CloudFormation). Continuously monitor and optimize AWS resources to improve performance and reduce costs. Troubleshooting & Support: Provide expert-level troubleshooting and support for cloud infrastructure, Databricks platform issues, and production systems. Identify and resolve performance bottlenecks, security risks, and system inefficiencies across AWS and Databricks environments. Documentation & Reporting: Document cloud infrastructure, Databricks configurations, and solutions for internal knowledge sharing. Prepare regular reports on system performance, cost management, and the status of cloud initiatives. Key Requirements: Experience: 5+ years of experience in AWS cloud engineering, with a proven track record of delivering cloud-based solutions. 3+ years of hands-on experience with Databricks platform, including building and managing data pipelines, notebooks, and Spark-based workloads. 2+ years of experience leading or mentoring a team of engineers, with strong leadership and team-building skills. Technical Skills: Proficient in AWS cloud services (EC2, S3, Lambda, RDS, VPC, IAM, CloudWatch, etc.). Strong knowledge of Databricks, Apache Spark, and data engineering best practices. Experience with containerization and orchestration tools (Docker, Kubernetes). Familiar with Infrastructure-as-Code tools (Terraform, CloudFormation). Experience with data processing frameworks, data lakes, and analytics pipelines. Additional Skills: Strong understanding of security best practices in cloud environments. Ability to manage complex cloud projects with multiple stakeholders. Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders. Experience with Agile methodologies is a plus. Education & Certifications: Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field (or equivalent experience). AWS Certified Solutions Architect - Professional (preferred). Databricks Certified Associate Developer (preferred, but not required). At Greymatter Innovationz, We offer: Motivating Work Environment. Excellent Work Culture. Help you to upgrade yourself to the next level. And More!!!

(F2F Required, Onsite from Day 1 & Telecom Experience) Long Term We are looking for a Senior Application Security Engineer to join our growing team and play a hands-on role in strengthening security across our development lifecycle. In this role, you'll work side-by-side with engineering teams to integrate security tooling into CI/CD pipelines, automate workflows, and reduce vulnerability management overhead. You'll have the opportunity to own core pillars of our AppSec program (e.g., SAST, DAST, SCA, Container, IaC) while helping shape the future of security at scale in a fast-paced environment. Primary Responsibilities: Build & integrate security tooling into CI/CD pipelines (SAST, SCA, DAST, container, IaC), ensuring scans are reliable, fast, and frictionless for developers. Automate vulnerability management workflows (ticketing, reporting, dashboards) to reduce manual effort and improve visibility. Partner with engineering teams to troubleshoot findings, refine pipelines, and provide actionable guidance. Take ownership of one or more AppSec program pillars and drive continuous improvement in that domain. Support penetration testing engagements (internal and external) by contributing to scoping, coordinating, and validating findings. Contribute to developer enablement, helping teams adopt and get the most out of security tooling.

We are seeking a skilled Cloud AWS Engineer to join our Service Management team. This role focuses on supporting and training team members involved in Amazon Web Services (AWS) Cloud initiatives. The position involves managing sandbox environments, developing procedures, and implementing best practices for AWS configuration and administration. Full list of must-have skills: AWS Services - IAM, EC2, KMS, ECS, EKS, R53, Lambda AWS State Machines AWS Systems Manager - automation and command document Development Terraform IaC/CaC- HCL (AWS and other providers) Git/GitLab/CICD - DevOps source/version control, Pipelines Shell Programming/Scripting (Bash, Powershell) Linux Administration: networking, services, permissions, logging Ansible/AAP: automations, collections, workflows Certificate Management: TLS client/server, ACM Container & Orchestration: docker, kubernetes Programming/Scripting Languages: shell, python, java, nodejs, go Key Responsibilities Administer and maintain AWS sandbox environments. Develop and document best practices for environment configuration, sizing, tagging, scripting, monitoring, and security. Provide guidance and training to the Service Management team on AWS operations and administration. Support application developers with AWS tools and resources. Assist in creating procedures and documentation for AWS-related activities. Required Qualifications Advanced experience with AWS operations. Hands-on experience in AWS application development. Proficiency in AWS scripting and monitoring. Strong technical background in both Linux and Windows environments. Understanding of databases with basic SQL skills.

About Us: Ideavillage is a leading direct-response TV and consumer products marketing company that designs, sources, markets and sells high quality products in multiple segments, including women's and men's apparel, accessories, health and wellness and beauty. Our products are distributed to over 60,000 stores including major retail chains such as Walmart, Target, CVS, Walgreens, and Dick's Sporting Goods. Ideavillage has launched well-known brands which include Copper Fit, Micro Touch, Finishing Touch, and Flawless. The corporate focus is to expand its successful product launches into long-term brands. Job Description: IdeaVillage is seeking a hands-on Product Engineer with an Electrical or Mechanical Engineering background to support our growing portfolio of consumer products. This role will work across the full product lifecycle - from concept and prototyping through compliance, production, and launch. The ideal candidate is technical, detail-oriented, and comfortable working with overseas factories, particularly in Asia. You will collaborate closely with Product Development, QA, Supply Chain, and Leadership to bring innovative, high-quality products to market. Key Responsibilities Support the full product development lifecycle, from concept and prototyping through testing, production, and shipment Evaluate product samples for performance, durability, manufacturability, and compliance considerations Troubleshoot and resolve mechanical and/or electrical issues using Root Cause / Corrective Action methods Assist with regulatory compliance, safety testing, and certification (UL, CSA, Intertek, FCC, CE, etc.) Recommend design, component, material, and process improvements to enhance product quality, performance, and cost Collaborate with cross-functional teams and work closely with Asia-based factories and suppliers to support development and production Provide technical support during manufacturing and scale-up Document test processes, results, and engineering changes in clear technical reports Required Qualifications Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field 3-5 years technical experience in a manufacturing or product development environment Familiarity with regulatory agencies and industry standards (UL, CSA, Intertek, FCC, CE, etc.) General understanding of Root Cause / Corrective Action (RCCA) Strong written and verbal communication skills (technical reporting required) Detail-oriented with strong analytical and problem-solving abilities Proven ability to manage multiple projects and work cross-functionally Bonus Experience Experience with small appliances, grooming tools, vibration devices, motors, or battery-powered products Experience working with overseas factories (China, Vietnam, Thailand, etc.) Experience and working knowledge of common test equipment (e.g., oscilloscopes, multimeters, power supplies, electric load, current sensors, signal generators, spectrum analyzers, and LISNs) Travel Requirement Willing to travel domestically and internationally 3-5 times per year to support projects and factory engagements

🚀 Now Hiring: Project Engineer - Capital Projects (Fieldsboro, NJ) ✨ What You'll Do In this role, you will be responsible for managing full lifecycle project execution, including: 📌 Leading and managing multiple capital projects simultaneously 🗂 Developing detailed project plans, schedules, and budgets 🤝 Coordinating with internal teams, external vendors, and stakeholders to ensure alignment 🔍 Monitoring project progress and proactively resolving issues 🛡 Ensuring strict compliance with safety, regulatory, and quality standards 📊 Preparing and presenting project updates and reports to senior leadership 🔧 What You Bring Ideal candidates will have: 🎓 A Bachelor's degree in Engineering or related field 5+ years of project management experience, ideally in manufacturing Strong leadership, communication, and organizational skills Ability to manage multiple complex projects with competing priorities Experience executing capital projects in an industrial or manufacturing environment 🎯 Why This Role Stands Out Lead high-impact, high-visibility capital projects Work in a dynamic, innovation-focused environment Opportunity to influence the success of major plant initiatives Join a team that values collaboration, problem-solving, and continuous improvement 📩 Ready to Apply? If you're a detail-oriented Project Engineer who thrives in a hands-on project environment, we'd love to connect. Apply today or message me directly for more information!

Machine Learning Engineer Who You'll Work With As a modern technology company, our Slalom Technologists are disrupting the market and bringing the art of the possible to life for our clients. We have a passion for developing strategies, solutions, and creative products to help our clients address their most complex and challenging business problems. We surround our technologists with interesting challenges, innovative minds, and emerging technologies. Slalom's Global AI capability focuses on next-level AI and Machine Learning solutions for clients. You'll join a diverse team of engineers, data scientists, and AI thought leaders. We work across modern AI platforms, develop innovative AI solutions, and collaborate with our technology partners to drive their products into the future. Slalom is targeting candidates at the Consultant or Senior Consultant level for this role What You'll Do * Provide support from sales through delivery, understanding our clients' business challenges, and suggesting robust AI/ML solutions * Apply Machine Learning, Deep Learning, and other relevant technologies to assist in building AI tools that solve real business problems * Assist in the design, development, presentation, and delivery of traditional ML solutions in areas such as Computer Vision, NLP, Recommendation Systems, etc. * Stay updated on fundamental AI/ML concepts and emerging trends to contribute to solution discussions and development * Support the team in creating pricing strategies, go-to-market plans, and identifying potential partnerships to promote the adoption of AI/ML * Contribute to the growth of the AI/ML community within the organization through learning, mentoring, and sharing knowledge What You'll Bring * Strong consultative and communication skills, and the ability to convey complex technical concepts to diverse stakeholders * Solid technical foundation, combined with constant curiosity to stay on the creative edge of ML/AI solutions * Technical and conversational fluency in AI, GenAI, Machine Learning, and at least one of the major clouds (AWS, GCP, Azure), and data platforms (Databricks and Snowflake) * Hands-on experience with RAG, agentic workflows, fine-tuning, or other LLM-based techniques * Experience putting ML/AI into production, and ability to talk through best practices and pitfalls, including Infrastructure as code frameworks, Docker, and CI/CD as part of MLOps/AIOps * Understanding of validation frameworks for AI and ML tools, with knowledge of the production-ready offerings on the market for AI validation * Excellent Python, especially for ML/AI use cases * Software engineering and/or application development background, especially in one of the major clouds About Us Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.

Are you ready to shape the future of authentication? Join 1Kosmos and help lead the next wave in identity assurance and passwordless innovation. 1Kosmos is driving the future of identity security, empowering organizations to eliminate passwords and establish trust at every step of the identity lifecycle. As a vibrant team of innovators, we develop advanced authentication solutions trusted by some of the world's leading brands. Join us as we create a passwordless world and set new standards for digital identity assurance. We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture, data extraction, and fraud detection, delivering high-performance models that can run on both mobile devices and cloud environments. This role blends R&D with production engineering-you'll take ownership of the full ML lifecycle, from dataset creation and model training to deployment and performance optimization. Key Responsibilities Design and implement AI models for image classification, object detection, OCR, and feature extraction. Develop real-time image quality assessment and capture guidance algorithms. Create and maintain data pipelines for collecting, cleaning, augmenting, and labeling datasets. Implement model optimization techniques for mobile (on-device) and cloud inference. Apply fraud detection methods to identify tampering, forgeries, or replay attacks in visual data. Integrate ML models into production-grade APIs and mobile SDKs. Monitor, evaluate, and continuously improve model accuracy and performance. Collaborate with product and engineering teams to align AI capabilities with business goals. Requirements Bachelor's or Master's degree in Computer Science, AI/ML, or related field (or equivalent experience). 3+ years of experience building and deploying ML models in production. Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or similar). Experience with computer vision libraries (e.g., OpenCV) and OCR technologies. Strong understanding of deep learning architectures for image and text recognition. Familiarity with cloud platforms (AWS, GCP, or Azure) and API development. Strong problem-solving skills and ability to work in fast-paced environments. Based in the NJ / NY area; Hybrid working model. Preferred Qualifications Experience with model quantization and optimization for mobile deployment. Knowledge of synthetic data generation and data augmentation techniques. Background in security, liveness detection, or anomaly detection. Exposure to compliance and data privacy regulations (GDPR, CCPA). Contributions to open-source ML projects or published research. Benefits Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High, FIDO2-certified cryptography, and NIST-compliant biometric systems. Accelerated Growth: Receive annual stipends for certifications and attend key conferences like Identiverse or EIC. Ownership & Impact: We move fast and will enable you to make a big impact with large customers in US & Canada. Flexibility First: Unlimited PTO, and 2 days WFH

If you're looking for the stability of a profitable, growing company with the entrepreneurial spirit of a startup, we're hiring. SageSure, a leader in catastrophe-exposed property insurance, is seeking a Machine Learning Engineer. As a Senior Machine Learning Engineer, you'll play a crucial role in optimizing orchestration processes and ensuring fast and efficient model deployment and delivery. You'll work closely with Software Engineers and Data scientists to streamline machine learning pipelines and implement best practices for managing and deploying ML models. What you'd be doing: Design and implement robust, scalable, and efficient data pipelines for training machine learning models. Develop prediction pipelines to ensure seamless integration of trained models into production environments. Create APIs and microservices to facilitate communication between machine learning models and other software modules. Design, build, and manage model deployment strategies to ensure reliability, scalability, and security in production environments. Implement monitoring and logging solutions to track model performance, data quality, and system health in real-time. Optimize orchestration processes to ensure efficient deployment and management of ML models. Implement cost-saving strategies to minimize infrastructure expenses while maximizing performance. Collaborate with cross-functional teams to identify bottlenecks and implement solutions to improve workflow efficiency. We're looking for someone who has: Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field. 5-7 years of experience as an MLOps Engineer or similar role, with a proven track record of optimizing machine learning pipelines and infrastructure. Proficiency in cloud computing platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Experience with orchestration tools and frameworks such as Airflow, Kubeflow, or MLflow. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn. Experience in deploying machine learning models in production environments and managing model lifecycle. Excellent problem-solving skills and ability to work independently as well as part of a team. Strong communication skills and ability to collaborate effectively with cross-functional teams. Data at SageSure At SageSure, data isn't just a function-it's a force for innovation. Our Data organization brings together Data Science, Business Intelligence, and Data Management to power smarter decisions and deliver meaningful impact across the business. From predictive modeling to scalable data ecosystems and actionable insights, we turn complex information into clarity that drives real results. We're building a team of curious, collaborative problem-solvers who are passionate about using data to make a difference. Whether you're advancing machine learning capabilities, strengthening data governance, or uncovering insights that shape strategy, you'll play a critical role in defining how SageSure uses data to lead the future of insurance. About SageSure: Named among the Best Places to Work in Insurance by Business Insurance for four years in a row (2020-2023), SageSure is one of the largest managing general underwriters (MGU) focused on catastrophe-exposed markets in the US. Since its founding in 2009, SageSure has experienced exceptional growth while generating underwriting profits for carrier partners through hurricanes, wildfires, and hail. Available in 16 states, SageSure offers more than 50 competitively priced home, flood, earthquake, and commercial products on behalf of its highly rated carrier partners. Today, SageSure manages more than $1.9 billion of inforce premium and helps protect 640,000 policyholders. SageSure has more than 1000 employees working remotely or in-office across nine offices: Cheshire, Connecticut; Chicago, Illinois; Cincinnati, Ohio; Houston, Texas; Jersey City, New Jersey; Mountain View, California; Marlton, New Jersey; Tallahassee, Florida; and Seattle, Washington. SageSure offers generous health benefits and perks, including tuition reimbursement, wellness allowance, paid volunteer time off, a matching 401K plan, and more. SageSure is a proud Equal Opportunity Employer committed to building a workforce that reflects the spectrum of perspectives, experiences, and abilities of the world we live in. We recognize that our differences make us strong, and we actively seek out diverse candidates through partnerships with organizations, institutions and communities that represent various backgrounds. We champion belonging and inclusion for all identities, including, but not limited to, race, ethnicity, religion, sexual orientation, age, veteran status, ability status, gender, and country of origin, striving to create a culture where all individuals feel valued, respected, and empowered to bring their authentic selves to work. Our nimble, highly responsive culture nurtures critical thinkers who run toward problems and engineer solutions. We relentlessly pursue better outcomes by investing in the technology, talent, and tools that position us to succeed in demanding markets. Come join our team! Visit sagesure.com/careers to find a position for you.

We're seeking an outstanding ML Engineer to join our data team and help build out best-in-class machine learning solutions on our platform, powering innovative solutions in marketing & sales and commercial analytics. Responsibilities - Build and deploy the ML pipelines that power the company machine learning platform. - Manage MLOps infrastructure to monitor and optimize models. Qualifications Experience: 1+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist. Proficiency across topics in machine learning and statistics. Fluency in Python coding as well as data manipulation (SQL, Spark, Pandas) Broad familiarity with the Python ecosystem and common libraries including Scikit-Learn, XGBoost, PyTorch, Keras, Tensorflow, Pandas, and common ML cloud services. Familiarity with CNNs, RNN, LSTMs, and the latest research trends. Experience implementing, deploying, and maintaining production machine learning systems. Experience monitoring and optimizing model performance. Experience with Linux, Docker and AWS, and basic development operations. Advanced degree in computer science, mathematics, statistics or related area of study strongly preferred.

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. Are you ready to make a significant impact in the world of AI and machine learning? At JPMorgan Chase, In this role, you'll be a key player in an agile team dedicated to enhancing, building, and delivering market-leading technology products that are secure, stable, and scalable As a Senior Lead Software/Machine Learning Engineer, at JPMorgan Chase within the Corporate Sector - AIML Data Platforms Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. Job responsibilities Architects and implements distributed ML experimentation and training platform for firm-wide use. Designs, implements, and supports tools and workflows to facilitate machine learning experiments, automated training runs, and production deployments Extends machine learning libraries and frameworks to support complex requirements Designs thoughtful data scientist experience in delivering AI experience APIs and SDKs for the platform Collaborates with infrastructure engineering, product management, and security and compliance teams to deliver tailored, robust solutions Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Advanced knowledge of architecture, design, and software development processes. Deep understanding and hands-on experience with public cloud technologies, especially with AWS, in the context of ML engineering workflows, specifically featurization, experimentation, training, and evaluation Expert programming skills in at least Python and experience with ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-Learn, JAX, etc. Hands-on experience implementing DevOps practices using tools such as Docker, Jenkins, Spinnaker, and Terraform Knowledge of Big Data and related technologies such as Hadoop, Spark, and Airflow Preferred qualifications, capabilities, and skills Background in high performance computing and ML hardware acceleration Track record of contributing to open-source ML frameworks Knowledge of Kubernetes ecosystem, including EKS, Helm, and Custom Operators

Newark, NJ (Hybrid) | Contract | $60/hour Design, develop, and deploy cutting -edge machine learning and generative AI solutions that power innovation and business transformation. A leading technology services firm is seeking an experienced Machine Learning Engineer to architect and implement advanced ML and AI -driven solutions. This role combines hands -on engineering with leadership, requiring deep technical expertise in model development, deployment, and optimization. The ideal candidate will bring a strong command of modern ML frameworks, cloud platforms, and generative AI tools like LangChain and RAG. This position is hybrid and open to local candidates only. Position Overview The Machine Learning Engineer will lead the end -to -end lifecycle of machine learning initiatives-from data pipeline design to production deployment-while collaborating across data science, engineering, and business teams. This is a high -impact role at the intersection of AI innovation, scalable architecture, and applied data science, ideal for engineers passionate about operationalizing ML solutions at scale. Key Responsibilities Lead and execute machine learning projects from concept to production, ensuring performance, scalability, and business impact. Collaborate with data scientists to design, implement, and optimize ML and AI models. Partner with infrastructure teams to enhance the architecture, stability, and scalability of ML platforms. Design and build optimized data pipelines to support real -time and batch inference. Extend and maintain existing ML libraries, frameworks, and APIs to accelerate delivery. Implement model monitoring, governance, and automation frameworks for robust ML operations (MLOps). Drive continuous improvement of ML platform capabilities, staying aligned with the latest technologies and best practices. Translate complex ML and AI solutions into actionable business insights and measurable results. Provide mentorship and technical direction to junior engineers on the ML team. Requirements Required Qualifications Bachelor's degree in Computer Science, Engineering, or a related field (Master's preferred). 7+ years of experience in machine learning or applied AI engineering. Proficiency in Python, Java, and Scala, with a solid foundation in algorithms, data structures, and multithreading. Expertise in ML and DL frameworks such as XGBoost, scikit -learn, TensorFlow, and PyTorch. Experience with Generative AI, LangChain, and Retrieval -Augmented Generation (RAG) architectures. Hands -on experience with cloud -based ML platforms such as AWS SageMaker, GCP AI Platform, H2O.ai, or DataRobot. Strong understanding of model lifecycle management, including containerization, real -time inference, and CI/CD for ML. Experience developing and deploying production -grade ML applications on cloud infrastructure. Familiarity with Agile/Scrum methodologies and collaborative cross -functional teamwork. Preferred Experience & Skills Strong knowledge of MLOps practices including monitoring, retraining pipelines, and governance frameworks. Experience architecting generative AI solutions for enterprise -scale use cases. Thought leadership in machine learning innovation, model scalability, and ethical AI practices. Excellent communication, collaboration, and problem -solving skills. Attributes & Mindset Analytical thinker with a passion for innovation and applied AI. Highly detail -oriented with a focus on code quality and model performance. Self -motivated and capable of leading projects in fast -paced environments. Committed to continuous learning and staying ahead of emerging ML technologies. Benefits Location: Newark, NJ (Hybrid) Experience Level: Mid-Senior Employment Type: Contract Compensation: $60/hour

Machine Learning Engineer Duration: Long Term contract. Client: Largest Direct Telecom Client What were looking for... Responsibilities: Develop, implement and distribute large-scale, scalable web apps for data science and machine learning solutions Maintain and improve data pipeline using machine learning infrastructure and existing machine learning models Data manipulation and statistical modeling Time series forecasting Utilize predictive modeling and optimize algorithms Define and communicate technical and design requirements Conducts unit tests, code reviews, assesses and improves site/software performance, and maintains design and code documentation In-depth understanding of web development and Content Management Systems Experience with one or more of the following including but not limited to: Python, Java, PHP, C/C++, C#, Objective C, Golang Familiarity with front-end languages such as HTML, JavaScript and CSS Usually responsible for writing the web services and APIs used by front-end developers and mobile application developers Experience with HTML and Frameworks such as React.Js, Flask, and Node.JS Knowledge of various DBMS technology Teradata, MySQL, MongoDB, Oracle, SQLServer Required Skills: Python, Plotly Dash, Streamlit REST API SQL Experience with designing, building, testing, and deploying scalable internal web applications for large organizations Able to understand and translate user requirements Git, use of documentation best practices Desired Skills: Knowledge of various data science methodologies (anomaly detection, machine learning, regression, neural networks) Knowledge of various cloud data science platforms (Domino, GCP, AWS) Education/Certifications: Degree in computer science, math or a related technical field.

Industrial Automation Robotics Engineer We grow the world's BEST Strawberries & that wouldn't be possible without our Engineering Team! We are seeking an Industrial Automation Robotics Engineer who drives some of the most cutting-edge engineering projects Oishii has to offer. You will play a key role in developing advanced automation solutions that drive reliability, scalability, and performance across our indoor vertical farms. At Oishii, the Industrial Automation Robotics Engineer has the opportunity to shape the future of an industry. We leverage robotic harvesting, artificial intelligence, forecasting, and automation technologies to grow and harvest the world's best strawberries. We are studying every aspect of strawberry production and finding ways to beat the status quo. On the plant science front we are creating smarter farms that can automatically harvest fruit, measure and analyze plant health, monitor environmental conditions, fine-tune nutrient levels, understand and control the micro-organism ecosystems, and much more. Working closely with cross-functional teams and external partners, you will drive automation projects from concept through commissioning, ensuring each system is safe, maintainable, and high-performing. What you'll be responsible for: Lead the design and development of automation systems from concept to commissioning, including robotics, PLCs, motion control, and safety systems. Develop complete control system architectures including PLCs, safety systems, motion controllers, and sensors. Develop, program, and optimize control logic and robotic operations using PLC/HMI platforms (Allen-Bradley, Ignition) and robot programming environments (Yaskawa, Fanuc, KUKA). Lead small teams by setting goals, managing performance, and providing support and feedback. Write and maintain automation software tools and scripts in Python or C++ to support data acquisition, system monitoring, and integration with higher-level control or SCADA systems. Design and model automation systems, tooling, and layouts using 2D/3D CAD. Collaborate cross-functionally with Engineering, Maintenance, Operations, and Plant Science to define system requirements. Oversee testing, validation, and commissioning (FAT/SAT) of automation systems, leading debugging and optimization efforts. Document system functionality through P&IDs, I/O lists, and schematics, ensuring maintainability and handoff readiness. Manage automation vendors and system integrators during design, fabrication, and installation. Who will love this job: Individuals who identify with our Core Values and exhibit skills within those values will thrive at Oishii. * One Team, One Fight! * Ability to quickly shift priorities to meet deadlines and effectively communicate, both verbally and in writing, clearly, concisely and with purpose at various levels of the organization. * Ability to work cross functionally at all levels including across locations, and collaborate with a focus on supporting & understanding the evolving business needs of a startup environment. * Ability to lead through others and develop teams with a diverse level of experience to succeed. * Focus. * Ability to remove obstacles in order to prioritize which could include problem solving, working through ambiguity and using fact based or sound judgment in the absence of process or policy. We are building it, but need to manage through the process with good judgment and a bias for action. * Ability to synthesize information quickly to aid in the troubleshooting process. * GSD (Get Sh Done!) * Possessing an entrepreneurial mindset with the tenacity to develop ideas, process, and policy and implement them rapidly. * Capable of prioritizing tasks and considering the resources available when doing so. * A bias for action! Ability to hold yourself accountable and take ownership of driving results that impact company outcomes. * Track record of effectively handling complex employee relations issues, and addressing sensitive information and difficult situations with tact, discretion, and confidentiality. What we look for in an Industrial Automation Robotics Engineer: * Bachelor's or Master's degree in Electrical, Mechanical, Mechatronics, Automation, or Robotics Engineering. * 5-7 years experience in robotics integration (safety, communications, programming), industrial automation, and system integration. * Expertise in PLC (Allen Bradley required) and HMI programming, motion control, pneumatics, SCADA (Ignition a plus), industrial networking, and industrial communication protocols (Ethernet/IP, Modbus, OPC UA). * Experience managing individuals or small teams. * Proficient in C++ or Python. * Proficient in 2D/3D CAD and hands-on experience with robot end effector design, prototyping and fabrication. * Strong understanding of control panel design (480V 3 phase, including pneumatics), wiring standards, and electrical schematics. * Must be onsite 5 days/week in Phillipsburg, NJ and willing to troubleshoot system issues nights/weekends onsite/remotely. Perks at Oishii: * Compensation: $120-130 K yearly plus equity * Medical, Dental, Vision Insurance * 401(k) Retirement Plan (Roth & Traditional) * EAP Access * 100% Employer Paid Life Insurance & Long Term Disability Insurance * Paid Parental leave, Paid Time Off & Paid Sick Time * Paid Training & 7 Paid Holidays * Office social events including happy hours, parties, and community service projects * Employee activity groups for basketball players, Yoga Enthusiasts, runners… About Us: At Oishii, we grow the best berries in the world by deploying ground-breaking vertical farming technology that pushes the boundaries of agriculture. We're the first in the WORLD to grow fruit in an indoor vertical farm at commercial scale. Our proprietary technology enables us to grow the very best produce year-round, at the same high level of quality, all without using any pesticides. Oishii has been profiled in Eater, NPR, Time Magazine, and Fortune. Oishi was also one of the Fast Companies Most Innovative Companies of 2022. At Oishii, everything we do works toward accomplishing our mission of transforming agriculture sustainably while bringing produce that truly delights people everywhere. This requires farmers, engineers, scientists, product managers, and members of many other backgrounds to work together day-in and day-out to innovate, while operating increasingly large farms. We have an amazing mission-driven team of highly motivated and engaged members. Learn More ********************

Universal Technical Resource Services, Inc. (UTRS) is currently seeking an Engineer to join our team! At UTRS, we enjoy the benefits of working in a collaborative environment of close-knit team members. As a company, we provide a wide range of leading-edge engineering, management, and digital services to the public and private sectors. We are looking for someone that will support our mission to consistently deliver creative, high-quality, technology-based services to our customers on time and within budget. These positions will be in support of the Analysis, Materials, & Prototyping (AMPD) Directorate's mission execution, positions are available in multiple engineering disciplines to include Mechanical Engineering, Materials Science Engineering, Chemical Engineering & Robotics Engineering. Positions are entry level through mid-career for both bachelor's and advanced degrees. These roles support the development of advanced and novel materials, manufacturing, and analytical/experimental technologies to enable the development and improvement of new and legacy armaments systems. This position is located at Picatinny Arsenal. What will you be doing? These positions will be key members of the Division in the appropriate supporting Branches. Duties include: * Analysis & Experimental Evaluation * Dynamic Finite Element Analysis (FEA) of Munition and Armament Systems * Mechanical Design of Experimental / Prototype Systems * Computational Fluid Dynamics (CFD) * Test & Evaluation of Munition and Armament System * Computer vision analysis / Digital Image Correlation * Materials & Producibility * Advanced Manufacturing * 3-D Printing (metal & plastic) * Printed electronics * Materials analysis * Novel & nano materials * Producibility and industrial base assessments * Manufacturing & Prototype Technology * Conventional Manufacturing * Robotic programming and integration * Welding and joining * Tool & die * 5-axis machining What skills will the ideal candidate have to be successful? These positions will require the following skillsets and experience: * Must be able to obtain a clearance through the DoD security background investigation process * Pass drug and alcohol testing * Must have good mechanical skills and experience * Knowledge of manufacturing principles and processes * Experience with engineering software, including Creo CAD * Knowledge of Geometric Dimensioning and Tolerancing (GD&T) * High standard of quality and efficiency * Effective communication and interpersonal skills * Knowledge of weapons and firearms a plus * Must be a team player, able to multitask and prioritize accordingly * Fluent in (MS Outlook, Excel, Word, PowerPoint) * Must be a US Citizen * Must have a valid driver's license and be able to obtain a government driver's license * Must have a minimum of a bachelor's degree in Engineering or similar discipline * Past or present military personal are encouraged to apply * 0-5 years of experience with engineering or similar discipline Read about our benefits here: Our Benefits - UTRS | Thinking Forward UTRS is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. UTRS is a drug-free workplace with pre-employment drug testing and background verifications. For more information or to apply now, go to the website below: ******************************************************************************************** ********************************************************************************************************** ******************************************************