Operations engineer jobs in Bethesda, MD - 7,566 jobs

Leidos is seeking an experienced **Transportation Engineer** to lead multi-disciplinary transportation research programs and projects across federal, state, and local government contracts. The ideal candidate will have a strong background in transportation safety, operations, and data, with proven experience managing complex projects, maintaining client relationships, and delivering high-quality project deliverables. The ideal candidate will possess a deep understanding of State DOT safety and operations programs as demonstrated by participation in and completion of related projects and publications. **Learn more about:** - The Leidos Surface Transportation group: **************************************************** - The Saxton Transportation Operations Laboratory (STOL): ************************************************************************** **Location: McLean VA office hybrid remote up to 50%** **Candidates MUST:** **Be US Citizens or Green Card Holders who are currently in the United States for the current three consecutive years and be eligible for a Public Trust Clearance.** **Key Responsibilities:** **Program and Project Management** o Serve as Program Manager for a Federal safety research contract. o Serve as the primary point of contact for clients, subcontractors, and internal teams. o Manage and oversee transportation safety, operations, and data research projects for federal, state, and local clients. o Develop, implement, and maintain project plans, schedules, budgets, and deliverables. o Assign tasks to team members, monitoring progress and quality of work. o Foster strong client relationships and manage project budgets and timelines. o Possess leadership skills with a collaborative management style that will facilitate interaction with supervisors, colleagues, customers and corporate partners. o Maintain strong client relationships, providing technical insight and strategic guidance. **Technical Leadership** o Serve as the technical lead for project teams, guiding project vision and desired outcomes. o Demonstrate in-depth knowledge of transportation system safety and operations or TSMO (transportation systems management and operations) strategies and the role of data. o Define opportunities for research around safety countermeasures, their implementation, and their utility throughout the transportation project life cycle. o Ability to lead and conduct safety reviews of existing infrastructure and designs, propose improvements, and work with a road safety audit team to resolve issues. o Ability to implement, monitor, and manage intelligent transportation systems, such as real-time traffic monitoring and traffic signal networks. o Ability to coordinate maintenance activities and oversee asset management for traffic control devices and other transportation assets. o Ability to ensure that transportation plans and operations conform to established safety guidelines and best practices. **Proposal Development** o Lead proposals and bid strategy for new projects in transportation research. o Contribute to writing compelling proposals and lead labor estimates for work. **Required Qualifications:** - Master's degree or higher in Transportation Engineering, Civil Engineering, Systems Engineering, or related field. - 12+ years of relevant experience including managing Federal, state, and local transportation projects, preferably in safety, operations, or data research. - Prior experience with State and local DOTs, the Federal Highway Administration (FHWA), and/or USDOT ITS Joint Program Office. - Strong knowledge of transportation research methodologies, data analysis, and program management best practices. - Demonstrated experience with project financial management, invoicing, and contract compliance. - Proven ability to manage multiple stakeholders, including government agencies, subcontractors, and internal teams. - Proven experience in business development, including identifying new market opportunities, building strategic partnerships, and driving portfolio/revenue growth. - Ability to obtain and maintain a Public Trust clearance (which includes three years of immediate residency in the US). - All applicants must be legally authorized to work in the United States without company sponsorship. **Preferred Qualifications:** - Familiarity with IRB, Safety research and development projects, and Vulnerable Road User research. - Possess an active Project Manager's Professional certification. - Possess an understanding of the principles, theory, and practice of multi-modal transportation planning. - Experience in the following areas in the ground transportation areas that may include Operations, Safety, Connected and Automated Vehicles (CAV), Intelligent Transportation Systems (ITS), Transportation Systems Management and Operations (TSMO), shared mobility, and active transportation. - Experience with business development activities through written proposals and client relationship development, including compelling approaches and content, executing communications projects, and developing project budgets. **Key Competencies:** - Strong leadership, organizational, and project management skills. - Ability to navigate complex projects with competing priorities. - Strong technical knowledge of transportation safety, operations, and data. - Collaborative mindset with the ability to mentor and guide junior staff. **Why Join Us?** - Opportunity to lead impactful projects that help improve our Nation's transportation ecosystem. - Collaborative and innovative work environment. - Competitive salary and benefits package, including professional development opportunities. **Anticipated salary range for this role: $120,000-$155,000** If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. **Original Posting:** October 3, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. **Pay Range:** Pay Range $92,300.00 - $166,850.00 The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. **About Leidos** Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ************** . **Pay and Benefits** Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at **************/careers/pay-benefits . **Securing Your Data** Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ***************************** . If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission (******************************* . **Commitment to Non-Discrimination** All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. REQNUMBER: R-00168094-OTHLOC-3025 All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Leidos will consider qualified applicants with criminal histories for employment in accordance with relevant Laws. Leidos is an equal opportunity employer/disability/vet.

Agentic AI Machine Learning Engineer The Opportunity As an experienced machine learning engineer, you understand good software is more than just a good user experience. To compete in today's technical landscape, mission-oriented machine learning solutions must be architected, designed, and built to handle fast-moving data to seamlessly scale with infrastructure based on system usage and to expand based on evolving mission requirements. We're looking for an engineer like you to create artificial intelligence (AI) and machine learning (ML) enabled solutions that help solve our toughest challenges facing the Defense and Intelligence sectors. On our team, you'll design, create, and implement complete AI systems that will transform client operations, increase data accessibility, and optimize AI and ML systems. You'll ensure that your team's solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. Additionally, you'll deepen your skill set in areas like software engineering, machine learning operations (MLOps), and software deployment and integration into a variety of different mission environments. Ready to transform the Defense and Intelligence sectors with software systems to aid data accessibility and AI and ML operationalization? Join us. The world can't wait. You Have 3+ years of experience as a ML engineer and building production-grade ML solutions, including work involving Large Language Models (LLMs), agents, or complex automation frameworks 3+ years of experience working within data science or data research in a professional or academic environment and training or deploying models across multiple modalities of data 3+ years of experience working in cloud environments, including AWS and Azure 2+ years of experience deploying and integrating production-grade ML models using tools such as Docker and Kubernetes Experience with LLMs, Deep Learning (DL), and Reinforcement Learning (RL) and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex Experience connecting Agents to APIs, Cloud platforms, or databases Experience evaluating architectural tradeoffs and designing robust service-based software applications for scalable use Experience with MLOps, GitOps, and CI/CD tooling Secret clearance Bachelor's degree Nice If You Have Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM Experience with client engagements, client-facing project work, and business development Experience with project work in deep learning, computer vision, NLP, or signal processing Experience deploying and managing data brokering solutions, including Kafka, Red Panda, Confluent, and other related services Ability to adapt in a rapidly changing environment Possession of excellent verbal and written communication skills Possession of excellent interpersonal, analytical, problem-solving, and organizational skills TS/SCI clearance Master's degree Clearance Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. #J-18808-Ljbffr

As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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 RecruitingAccommodation@capitalone.com. 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 ********************** 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).

About Pryon We're a team of AI, technology, and language experts whose DNA lives in Alexa, Siri, Watson, and virtually every human language technology product on the market. Now we're building an industry-leading knowledge management and Retrieval-Augmented Generation (RAG) platform. Our proprietary, cutting‑edge natural language processing capabilities transform unstructured data into meaningful experiences that increase productivity with unmatched accuracy and speed. In This Role Help solve fundamental problems in machine learning, natural language understanding, and human‑computer interaction with applicability to practical commercial use cases. Help with experimentation and model development, and design new features as well as improve existing ones in our system. Partner with the AI Engineering team to transition mature technology to our production environment. What You'll Need to Be Successful Master's degree or higher in Computer Science, Data Science or related technical field, and 3+ years of relevant industrial/academic work experience (or equivalent) Demonstrated ability to drive the development side of R&D efforts Experience building/refining/innovating deep learning models for Natural Language Processing, Computer Vision, or Speech Recognition Experience with one or more of deep learning toolkits (PyTorch/HF preferred) Strong foundation in Computer Science with high competency in data structures, algorithms, and software design (expertise in one or more of: Python, C++, or Java) Experience building and improving LLM applications for processing semi‑structured and structured data such as NL2SQL and graph‑RAG Experience with practical applications in NLP, esp. with transformers/LLMs a plus Publications in top‑tier conferences (NeurIPS, ICLR, ACL, EMNLP, CVPR etc.) a plus Experience working in cloud‑based development environments such as AWS, Azure, or Google Experience with micro‑service creation Strong problem‑solving skills, with a hands‑on, get‑it‑done attitude Team player with ability to work in a close‑knit, fast‑paced startup environment $160,000 - $175,000 a year Benefits for Full‑Time Employees Remote first organization 100% Company paid Health/Dental/Vision benefits for you and your dependents Life Insurance, Short‑term and Long‑term Disability 401k Unlimited PTO We are interested in every qualified candidate who is authorized to work in the United States. However, we are not able to sponsor or take over sponsorship of employment visas at this time. Pryon will not consider race, religion, sex, sexual preference, or national origin in ways that violate the Nation's civil rights laws. #J-18808-Ljbffr

Agentic AI Machine Learning Engineer**The Opportunity:**As an experienced machine learning engineer, you understand good software is more than just a good user experience. To compete in today's technical landscape, mission-oriented machine learning solutions must be architected, designed, and built to handle fast-moving data, to seamlessly scale with infrastructure based on system usage, and to expand based on evolving mission requirements. We're looking for an engineer like you to create artificial intelligence (AI) and machine learning (ML) enabled solutions that help solve our toughest challenges facing the Defense and Intelligence sectors.On our team, you'll design, create, and implement complete AI systems that will transform client operations, increase data accessibility, and optimize AI and ML systems. You'll ensure that your team's solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. Additionally, you'll deepen your skill set in areas like software engineering, machine learning operations (MLOps), and software deployment and integration into a variety of different mission environments.Ready to transform the Defense and Intelligence sectors with sof Join us. The world can't wait.**You Have:*** 3+ years of experience as a ML engineer and building production-grade ML solutions, including work involving LLMs, agents, or complex automation frameworks* 3+ years of experience working within data science or data research in a professional or academic environment, and training or deploying models across multiple modalities of data* 3+ years of experience working in cloud environments, including AWS and Azure* 2+ years of experience deploying and integrating production-grade ML models using tools, such as Docker and Kubernetes* Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL), and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex* Experience in connecting Agents to APIs, Cloud platforms, or databases* Experience evaluating architectural tradeoffs and designing robust service-based software applications for scalable use* Experience with MLOps, GitOps, and CI/CD tooling* TS/SCI clearance* Bachelor's degree**Nice If You Have:*** Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM* Experience with client engagements, client-facing project work, and business development* Experience with project work in deep learning, computer vision, NLP, or signal processing* Experience deploying and managing data brokering solutions, including Kafka, Red Panda, Confluent, and other related services* Ability to adapt in a rapidly changing environment* Possession of excellent verbal and written communication skills* Possession of excellent interpersonal, analytical, problem-solving, and organizational skills* TS/SCI clearance with a polygraph* Master's degree**Clearance:**Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.**Compensation**At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.**Identity Statement**As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.**Work Model** Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.* If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.* If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role.**Commitment to Non-Discrimination**All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.**About Booz Allen Hamilton**Booz Allen is an advanced technology company delivering outcomes with speed for America's most critical defense, civil, and national security priorities. We build technology solutions using AI, cyber, and other cutting-edge technologies to advance and protect the nation and its citizens. By focusing on outcomes, we enable our people, clients, and their missions to succeed-accelerating the nation to realize our purpose: Empower People to Change the World. **Commitment to Non-Discrimination**All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.**Accommodations**If you are an individual with a disability and would like to request a reasonable workplace accommodation for any part of our employment process, please contact the Booz Allen Help Desk by calling ************** or sending an email to ****************. **This option is reserved only for individuals who are requesting a reasonable workplace accommodation.** It is not intended for other purposes or inquiries. **Data Privacy** For more information on how Booz Allen uses your information, please see our . #J-18808-Ljbffr

Come build at the intersection of AI and fintech. At Ocrolus, we're on a mission to help lenders automate workflows with confidence-streamlining how financial institutions evaluate borrowers and enabling faster, more accurate lending decisions. Our AI-powered data and analytics platform is trusted at scale, processing nearly one million credit applications every month across small business, mortgage, and consumer lending. By integrating state-of-the-art open- and closed-source AI models with our human-in-the-loop verification engine, Ocrolus captures data from financial documents with over 99% accuracy. Thanks to our advanced fraud detection and comprehensive cash flow and income analytics, our customers achieve greater efficiency in risk management, and provide expanded access to credit-ultimately creating a more inclusive financial system. Trusted by more than 400 customers-including industry leaders like Better Mortgage, Brex, Enova, Nova Credit, PayPal, Plaid, SoFi, and Square-Ocrolus stands at the forefront of AI innovation in fintech. Join us, and help redefine how the world's most innovative lenders do business. Summary As a Staff Machine Learning Engineer at Ocrolus, you'll be a hands-on technical leader who helps shape the future of our machine learning systems. This is a high-impact role, entailing strategic responsibility in determining the company's Machine Learning infrastructure, system architecture, and deployment protocols. You will collaborate across teams to design, scale, and refine models that power core features - from document understanding and OCR to complex NLP and decision intelligence. This role involves the design of scalable Machine Learning solutions, mentorship of engineering personnel, and contribution to the technical and organizational advancement of the AI stack. The ideal candidate will excel in addressing complex challenges, providing guidance to others, and spearheading innovation on a large scale. What you'll do Spearhead the Design and Architecture: Lead the design and architecture of robust, scalable machine learning systems that are primed for seamless deployment into production. Enhance Productivity: Design and implement essential machine learning infrastructure and tools that support multiple teams, streamlining workflows and improving efficiency across the organization Solve Complex Infrastructure and ML Problems: Address complex infrastructure and machine learning challenges that span the organization. Analyze systems to identify and rectify bottlenecks, inefficiencies, and areas for improvement. Drive Model Evaluation and Optimization: Lead the development of model evaluation frameworks, optimize data pipelines, and implement continuous training strategies to ensure that models remain accurate and up-to-date. Apply ML Expertise to Fintech: Leverage state-of-the-art machine learning models within the fintech domain to automate and enhance document processing. Collaborate Across Teams: Work closely with stakeholders from Product, Engineering, and Operations to ensure that goals are aligned and that execution is coordinated and effective. Mentor and Guide Engineers: Provide mentorship to engineers within both ML and platform teams, fostering their professional development and contributing to the overall growth of Ocrolus' technical expertise. Coach and influence others to improve company culture. Contribute to Engineering Standards: Play an active role in shaping Ocrolus-wide engineering standards, participate in design reviews (RFCs/ADRs), and promote adherence to best practices. Champion Code Quality and Reliability: Be a vocal advocate for code quality, observability, and system reliability. This includes everything from implementing rigorous A/B testing to setting up real-time monitoring systems. Understand how their team and projects fit into the larger business goals. Bring together technical and nontechnical stakeholders towards common objectives, suggest alternative solutions to customer problems, and help teach and support more junior teammates. Look for opportunities for process improvements within their team and works with others to implement process changes. Find ways to incorporate company values into day-to-day decisions and have ideas on how to build policies/processes that support the improvement of company culture. Who we're looking for: (Skill Sets and Qualifications) Bachelor's or Master's degree in Computer Science, Machine Learning, Applied Mathematics, or a related technical field 7+ years of experience developing and deploying machine learning models in production environments, with a focus on real-world applications and measurable impact. Deep expertise in Python and at least one major ML framework (e.g., PyTorch, TensorFlow); strong proficiency in building, training, and optimizing deep learning models. Proven experience in applying ML techniques to computer vision, OCR, or NLP problems, ideally at scale and in latency-sensitive environments. Strong understanding of ML system design, including model evaluation, A/B testing, continuous training, and monitoring in production. Solid engineering fundamentals - data structures, system design, version control, and testing - with a history of writing clean, maintainable, and scalable code. Experience with modern infrastructure tools and cloud platforms (Docker, Kubernetes, Helm, AWS/GCP); comfortable navigating MLOps pipelines and deployment workflows. Demonstrated ability to lead cross-functional initiatives, influence architectural decisions, and communicate complex technical ideas to diverse stakeholders. Experience mentoring engineers and fostering a culture of high standards, curiosity, and ownership. Preferred Attributes: Working familiarity with additional programming languages (e.g., Go, Java, or Scala) is a plus. Experience operating within regulated industries (fintech, healthtech, etc.). Active contributor to open source, research publications, or public tech community. Champions a culture of humility, curiosity, and ownership in technical decision-making. Life at Ocrolus We're a team of builders, thinkers, and problem solvers who care deeply about our mission - and each other. As a fast-growing, remote-first company, we offer an environment where you can grow your skills, take ownership of your work, and make a meaningful impact. Our culture is grounded in four core values: Empathy - Understand and serve with compassion Curiosity - Explore new ideas and question the status quo Humility - Listen, be grounded, and remain open-minded Ownership - Love what you do, work hard, and deliver excellence We believe diverse perspectives drive better outcomes. That's why we're committed to fostering an inclusive workplace where everyone has a seat at the table, regardless of race, gender, gender identity, age, disability, national origin, or any other protected characteristic. We look forward to building the future of lending together. #J-18808-Ljbffr

The Machine Learning Engineer is responsible for developing and implementing machine learning models and algorithms to solve complex problems. Develop and implement machine learning models and algorithms. Collaborate with the engineering team to integrate machine learning solutions into projects. Stay updated on the latest machine learning technologies and trends. Develop and implement quantum machine learning models and algorithms. Collaborate with quantum engineers to integrate quantum machine learning solutions into the company's projects. #J-18808-Ljbffr

In today's rapidly evolving technology landscape, an organization's data has never been a more important aspect in achieving mission and business goals. Our AI & Data Exploitation experts work with our clients to support their mission and business goals by creating and executing a comprehensive data strategy using the best technology and techniques, given the challenge. At Steampunk, our goal is to build and execute a data strategy for our clients to coordinate data collection and generation, to align the organization and its data assets in support of the mission, and ultimately to realize mission goals with the strongest effectiveness possible. For our clients, data is a strategic asset. They are looking to become a facts-based, data-driven, customer-focused organization. To help realize this goal, they are leveraging visual analytics platforms to analyze, visualize, and share information. At Steampunk, you will design and develop solutions to high-impact, complex data problems, working with the best data practitioners around. Contributions We are looking for a seasoned Machine Learning Engineer to work with our existing team of Data Scientists and Engineers to use AI/ML technology in supporting Federal use cases. We are looking for more than just a "Machine Learning Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving. Collaborate with cross-functional teams to design and develop machine learning models and algorithms to address business needs. Analyze and process large datasets to extract meaningful insights and patterns. Collaborate with cross-functional teams to integrate machine learning solutions into existing systems and workflows. Optimize and fine-tune machine learning models for performance, scalability, and accuracy. Implement and maintain data pipelines to support machine learning workflows. Evaluate the effectiveness of machine learning models using appropriate metrics and validation techniques. Document processes, experiments, and results to ensure reproducibility and knowledge sharing. Deploy machine learning models to production environments and monitor their performance. Stay updated with the latest research and trends in AI to implement cutting-edge solutions. Support an Agile software development lifecycle. You will contribute to the growth of our AI & Data Exploitation Practice! Qualifications Master's degree and 3 years of relevant experience; OR Bachelor's degree and 5 years of relevant experience; OR No degree and 9 years of relevant experience. Possesses at least one professional certification relevant to the technical service provided. Maintain a certification relevant to the product being deployed and/or maintained. Ability to hold a position of public trust with the US government. 2-4 years industry experience developing ML/AI solutions and a passion for solving complex problems. 2-4 years industry experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Strong programming skills in languages such as Python. Solid understanding of statistical methods, data structures, and algorithms. Experience with data preprocessing, feature engineering, and model evaluation techniques. Familiarity with big data technologies like Spark. Knowledge of cloud platforms such as AWS, Google Cloud, or Azure. Experience with version control systems, such as Git, and continuous integration/continuous deployment (CI/CD) practices. Excellent problem-solving skills and attention to detail. Strong communication skills and ability to work collaboratively in a team environment. Ability to manage multiple tasks and projects simultaneously while meeting deadlines. About Steampunk Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $115,000 to $150,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee-owned company, we focus on investing in our employees to enable them to do the greatest work of their careers - and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit ************************* We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program. #J-18808-Ljbffr

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit ************** Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Hivemind Solutions Test department (HMS Test) is a group on a mission to build comprehensive and robust testing infrastructure that supports the development and deployment of the world's best AI pilot and most reliable aircraft. Hivemind Test is dedicated to ensuring the highest level of quality, reliability, and performance in our Hivemind software ecosystem. This ecosystem includes software for AI behaviors, embedded systems, system integration, and more. Our group is charged with validating and verifying our Hivemind software meets reliability standards and is operationally ready to meet mission objectives on aircraft, such as real-world jets, Shield AI's V-BAT and beyond. As a HIL Integration Engineer, you will be at the epicenter of integration and testing for deploying our Hivemind Software and AI Pilot on various aircraft platforms. You will be helping us build Hardware-In-The-Loop infrastructure to execute the integration and testing of SW and HW systems throughout simulation and on-ground test campaigns. Our test campaigns are hands‑on and fast paced, depending on high-fidelity simulation hardware to ensure high-quality flight software releases. Your efforts will be rewarded with successful flight test events, and your contributions will play a key role in developing an AI autopilot, enabling intelligent aircraft, historic aviation firsts and fulfilling our mission to protect service members and civilians the world over! What you'll do: Design, build and maintain Hivemind Hardware-in-the-loop infrastructure including mechanical design, electrical integration and building fixtures with lab technicians. Lead sensor integration into Hivemind targeted platforms. Create software support utilities and automated test tools for Hardware-In-The-Loop test fixtures and simulated flight testing (Python and/or C++). Hands‑on testing, integration and debugging during on‑ground and in‑flight test campaigns. Work with Hivemind engineering to test and integrate software and hardware systems preparing for simulation milestones and flight tests. Become a subject‑matter‑expert for running Hivemind tests on our Hardware-In-The-Loop and Vehicle-In-The-Loop systems. Run simulated flight tests to validate Hivemind + aircraft subsystems. Support on‑site flight testing that involves system configuration, running aircraft software, and data post‑analysis. Contribute to and execute test plans to validate Hivemind SW and HW systems. Drive continuous improvement in testing methodologies, tools and rapid prototyping. Required qualifications: Typically requires a minimum of 7 years of related experience with a Bachelor's degree; or 5 years and a Master's degree; or 4 years with a PhD; or equivalent work experience. Hands‑on mechanical and electrical engineering skills. Proficiency in Python (or C++). Experience in robotics, small UAS, or related hands‑on engineering projects. Strong analytical, problem‑solving, and debugging skills. Excellent communication and collaboration skills, with the ability to work effectively with cross‑functional software, hardware and mechanical engineering teams. Adaptability and a willingness to learn new technologies and methodologies quickly in a fast‑paced environment with a bias towards action. The ability to obtain and maintain a SECRET Clearance. US citizenship is required as only US citizens are eligible for a security clearance. Preferred qualifications: Exposure to CAD software (i.e.. NX, Solidworks). Experience rapid prototyping, building and/or flying small aircraft, such as quadrotor drones, robotics or similar. FIRST Robotics experience. Experience in the robotics, aerospace, space or defense industries, working with complex systems and adhering to stringent standards and regulations. Experience working with software management tools (Git, AzureDevOps/Jira, Artifactory) helpful. Active SECRET clearance. $140,000 - $210,000 a year Full‑time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part‑time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. #J-18808-Ljbffr

# **Our Privacy Statement & Cookie Policy****About the Role** As a Generative AI and Machine Learning Engineer, you will be responsible for supporting product development efforts that range from generative AI and machine learning application development and deployment to model development and monitoring, ML management and DevOps. You will be a contributing member of a Software Engineering team that supports production applications and also helping to develop new features and models. The role will interface with internal and external stakeholders and provide continuity of technical and data-exploration expertise to ensure we are delivering a workable solution that meets the customer requirements and technical capabilities. The position requires a proactive, mission-oriented person who strives to produce the best possible work for the customer. As a **Generative AI and Machine Learning Engineer**, you will:* Experiment and Develop: You will drive the end-to-end model development lifecycle, championing best practices to ensure reproducible research and well-managed software delivery.* Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe. You will elevate and mentor teammates. You will work closely with product teams to see your work integrated and deployed into production environments.* Deliver: With a sense of urgency and the desire to work in a fast-paced, dynamic environment, you will translate complex business problems into projects with clearly defined scope. Our problems are complex; our solutions are right-sized. You will be accountable for timely, well-managed deliverables.* Innovate: You will be empowered to try new approaches and learn new technologies. You will foster innovative ideas to solve real-world challenges. You will iterate on improvement rapidly with a mindset for failing fast and learning continuously from data.* Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences. You will help lead the way in the adoption of AI across the enterprise.**About you** You're a good fit for the role of Generative AI & Machine Learning Engineer if you have:* Master's or Bachelor's in a relevant discipline. Relevant experience will be considered in lieu of a degree* Proficiency in Python* At least 3+ years practical, relevant experience building AI/ML products and applications and recent demonstratable experience using Generative AI technologies such as RAG patterns, ReAct, LangChain etc for performing document summarization, knowledge graphs, information extraction, or analysis.* Solid software engineering skills and experience* Experience as a technical leader, leading aspects of the following :aiding in the ideation with product stakeholders, comfort in dealing with uncertainty and ambiguity in problem statements and paths to success, breaking down complex problems into tractable components with iterative improvements, formulating research and development plans, coordinating and working with others, communication of progress and plans with varied stakeholders* Hands on coding experience on AI/ML projects in current role and experience in designing, developing, and implementing machine learning models and algorithms* Ability to obtain and maintain a U.S. national security clearance* U.S. Citizenship essential to comply with government contract/agency or department of Federal Government requirements**The following skills and tools are preferred, but not required*** 6+ years practical experience using AI and ML to solve diverse and/or ambiguous problems in academia or industry* Experience with AI Agent frameworks and patterns* Familiarity with common NLP use cases such as chatbot development and information retrieval (RAG), language translation, NER, summarization and topic modeling* Familiarity with LLM training and efficient finetuning (PEFT, LoRA, Quantization)* Experience with NLP/CV libraries such as PyTorch, TensorFlow, Scikit-learn, spa Cy, HuggingFace Transformers/Diffusers, OpenAI, LangChain, Semantic Kernel & OpenCV* Experience using Cloud solutions (AWS, Azure, etc.) for building and deploying applications* Experience in a fast-paced, agile environment managing uncertainty and ambiguity.* Proficiency in Python and experience delivering minimum viable products in a large enterprise environment* Experience developing libraries and APIs for others to use* Outstanding communication and data-driven decision-making collaboration with Product + Business Stakeholders* Diverse experiences across problem spaces, companies and cultures#LI-CS1* **Hybrid Work Model:** We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.* **Flexibility & Work-Life Balance:** Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.* **Career Development and Growth:** By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.* **Industry Competitive Benefits:** We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.* **Culture:** Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.* **Social Impact:** Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.* **Making a Real-World Impact:**We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection #J-18808-Ljbffr

ABOUT ROCKET MONEY Rocket Money's mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money - ultimately giving them a leg up on their financial journey. ABOUT THE TEAM Machine Learning Engineers at Rocket Money further our mission by building products that deepen customer relationships with our many financial products. Our work ranges from transaction enrichment to personalization to cross-functional tools that support various AI product initiatives. We work closely with product teams to develop features that help customers understand, track, and improve their personal finances. We have a strong preference for team players that are comfortable collaborating across teams, know how to support strategy with ML and AI powered user experiences, can deliver scalable and high quality user experiences, and understand the effects of their products on end users. At the Staff level, Machine Learning Engineers are expected to build broad expertise into our products and the ML solutions that power them as well as drive technical progress for the team. ABOUT THE ROLE As a Staff Machine Learning Engineer at Rocket Money, you will be at the forefront of our ML and AI product development, bringing your expertise to design, implement, and maintain sophisticated ML systems that drive our product experiences. You will : Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite, proactively identifying technical challenges before they become issues. Design, implement, and maintain robust evaluation frameworks. You ensure that ML / AI systems can be constantly improved and create frameworks so that others can do the same. Develop novel new product experiences that you are uniquely positioned to enable for users. Help Rocket Money capitalize on it's unique dataset and scale. Guide others to help generate impact through effective technical leadership and partnership with product. Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams. Rigorous technical critique and oversight coupled with effective communication of business impact are musts. Provide technical mentorship, fostering an environment where everyone can contribute to high-impact work. You will raise the level of everyone around you. Potential Projects Develop comprehensive evaluation and ML Ops frameworks that enable systematic assessment of model performance, supporting rapid iteration and improvement of AI / ML product features. Scale transaction metadata generation systems to billions of financial transactions in a consumer facing app. Implement AI assisted transaction management and personalization features such as personalized categories, income and rent detection, and subscription identification. Implement effective user feedback mechanisms that enable measurement of ML feature product quality and constant improvement. Architect user facing predictive features that depend on fast moving and large scale user transaction data. ABOUT YOU 8+ years of professional experience in machine learning engineering or data science roles, with a proven track record of designing and implementing ML systems at consumer tech scale and speed. Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms to support rapid product development cycles and systematic model evaluation. Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications. Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks. Working Typescript knowledge is a plus. You understand ML methods at a fundamental level - deep experience in NLP techniques is a plus. You are a master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation. You've owned the development, launch, and maintenance for several scaled ML / AI powered product experiences. You understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments. You are a technical leader who can identify both emergent technical opportunities and gaps relative to best practice. Your strong communication skills enable your team to capitalize on these opportunities and generate impact. You care about products and user experiences, not publications. You are a practitioner first and thrive at the (messy) intersection of the real world and cutting edge approaches. WE OFFER Health, Dental & Vision Plans Competitive Pay 401k Matching Unlimited PTO Lunch daily (in-office only) Snacks & Coffee (in-office only) Commuter benefits (in-office only) Additional information: Salary range of $210,000 - $260,000 / year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience. Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr

A leading health solutions company is seeking a Director of Engineering Clinical AI in Washington, D.C. to spearhead the development of AI technologies that improve clinical decision-making and patient outcomes. This role requires over 10 years in AI/ML project management, with an emphasis on leadership in healthcare settings. The position includes managing a talented team and ensuring compliance with medical standards. Competitive salary and comprehensive benefits included. #J-18808-Ljbffr

We're seeking a Hardware Simulator Engineer / Operator to support the operation, troubleshooting, and sustainment of hardware simulators and hardware-in-the-loop (HIL) testbeds in both laboratory and field environments. You will be hands‑on with real equipment, setting up systems, running test scenarios, collecting and validating data, and ensuring simulator availability for customer demos, developmental testing, and field events. This role is ideal for someone who enjoys practical engineering, disciplined execution, and fast‑paced troubleshooting, from cable‑level issues and timing faults to configuration control and field logistics. Pay Range $85,000 - $163,000 The pay range for this position is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, geographic location, and any applicable laws Responsibilities Operate hardware simulators and HIL testbeds in the lab and during field deployments; execute test plans and scenarios safely and repeatably. Perform system setup and teardown: rack integration, power‑up/power‑down procedures, cabling/harnessing, configuration loading, and pre‑test checks. Monitor simulator health during runs (telemetry, logs, built‑in tests); identify anomalies and take corrective action to keep events on track. Troubleshoot hardware and integration issues across power, I/O, networking, timing, and sensors/actuators; coordinate fixes with engineering teams. Calibrate and verify simulator outputs/inputs using lab instruments (oscilloscope, logic analyzer, DMM, power supplies) and documented procedures. Maintain configuration control: versions, wiring diagrams, asset inventory, spares, and change tracking for lab and field baselines. Collect, label, and validate test data; produce run notes, quick‑look results, and issue summaries for after‑action reviews. Support logistics for field events: packing, transport, site setup, environmental checks, and compliance with customer/site safety rules. Contribute to documentation: operator checklists, test procedures, troubleshooting guides, and training materials. Qualifications BS in Engineering/Engineering Technology/Computer Science (or equivalent practical experience). 2 years of experience Working knowledge of common interfaces and networks (Ethernet, serial/UART, CAN, GPIO; SPI/I2C a plus). Proficiency with Windows and/or Linux; comfortable with command line tools and basic scripting for setup/log collection (Python/Bash helpful). Experience troubleshooting with standard lab tools (DMM, oscilloscope, logic analyzer) and interpreting logs/telemetry. Comfort with cables/harnesses, connectors, rack equipment, and safe power practices; able to follow detailed procedures and checklists. Strong documentation habits and communication skills; able to produce clear run notes and concise issue reports. Ability and willingness to travel for field events and work flexible hours during test windows (including early/late shifts or occasional weekends as required). Nice to have Experience with HIL environments, automated test stands, or simulator operation for complex systems. RF/EW/sensors experience; familiarity with timing/synchronization, data acquisition, or telemetry systems. Hands‑on electronics skills: reading schematics, basic rework/repair, harness fabrication, connector pinouts. Scripting/automation to streamline operations (Python, Bash, PowerShell) and basic data triage/quick‑look plots. Experience with environmental and field constraints (mobile racks, generators, shelters, ruggedized equipment). Field readiness Ability to lift/carry up to 50 lbs and safely handle racks/cases with appropriate equipment and team support. Ability to work outdoors or in varying environments during field tests (temperature, dust, noise). Valid driver's license. Security requirements Citizenship: U.S. citizenship required Clearance: Active Secret required About i3 i3 is a technically diverse, 100% team member owned business, headquartered in Huntsville, Alabama specializing in missile and aviation systems engineering and logistic services, electronic warfare and electromagnetic effects analysis, UAS system integration and flight operations, full lifecycle C5ISR engineering services, cybersecurity and IT/IA innovative solutions and virtual training, simulation & serious game development and implementation. We have established a broad offering of products and capabilities collectively providing decades of experience supporting the full complement of DoD military services, Missile Defense Agency, National Aeronautics and Space Administration, and a variety of other Government organizations and private industry customers. Perks of being a team member owner include: Long‑term financial security Higher job satisfaction Greater job security Personal and professional growth Great company culture Other outstanding benefits: Excellent insurance coverage 401(k) match Generous PTO Health and wellness incentives Tuition and certification reimbursement Countless opportunities to give back to the community through i3 Cares We work hard. We compete hard. We play hard. Apply now to join us! #J-18808-Ljbffr

A leading defense technology company located in Washington, D.C. is seeking an AI Engineer to enhance military capabilities with innovative AI systems. The successful candidate will be responsible for fine-tuning transformer architectures and developing systems to address real-world military challenges. The role requires strong experience in machine learning and Python, along with a bachelor's degree in a relevant field and the ability to maintain a U.S. Secret security clearance. Competitive salary range is $220,000 - $292,000, accompanied by comprehensive benefits. #J-18808-Ljbffr

We have a client in Reston, VA, seeking a Lead Azure Cloud Engineer to play a pivotal role in designing, implementing, and optimizing their Azure cloud infrastructure. In this strategic position, you'll collaborate with enterprise technology leaders and cross-functional teams-development, operations, and security-to build a secure, scalable, and high-performing cloud environment. Requirements: Bachelor's degree in Computer Science, Engineering, or related field. 4+ years of experience as an Azure Cloud Engineer or similar role. Strong knowledge of Azure service models (Serverless, IaaS, PaaS, SaaS). Expertise in cloud security, compliance, and cost optimization. Azure certifications (minimum: Azure Administrator). Excellent problem-solving, troubleshooting, and collaboration skills. What You'll Do: Architect and manage scalable, secure Azure solutions across multiple environments. Ensure availability, performance, and security of all Azure resources. Develop and maintain Infrastructure as Code (IaC) using Terraform, Bicep, or ARM templates. Deploy and configure hybrid solutions integrating on-premises and cloud environments. Monitor and optimize infrastructure for cost efficiency and reliability. Troubleshoot and resolve complex system issues escalated from support or design phases. Stay ahead of emerging Azure technologies and best practices to drive innovation. Maintain comprehensive documentation-requirements, architecture diagrams, design specs, and test plans. Bonus: Experience with M365, Intune, PP&C, UEM, and IAM is highly valued. About Us: Endurance IT Services provides Managed IT Services, Cybersecurity Solutions, and IT Consulting to help businesses stay secure and productive. We also offer IT Staffing for Direct-Hire, Contract-to-Hire, and Contract roles, plus internal full-time positions. Note: Some opportunities may not be exclusive and can change as we work with clients but our goal is always to help candidates find the right job.

CommVault Systems Engineer (Data Protection / Backup) Employment Type: Full-Time, Experienced Department: Technology Support CGS is seeking an experienced CommVault Data Protection Engineer with extensive knowledge and experience in designing, developing, configuring, implementing, testing, troubleshooting, deploying, and supporting backup and recovery technical solutions for a large-scale federal government enterprise's environment. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: Designed, developed, configured, integrated and secured complex backup, recovery and storage products over wide area network (WAN) in a complex, geographically dispersed solution, ranging from single servers to multi-tier, multi-platform solutions utilizing the Commvault enterprise backup solutions. Create and maintain optimal backup, restore and redundancy solutions for critical data - to include primary/auxiliary copies and VM-based backups. Reviews, plans, and participates in executing regularly scheduled maintenances on the backup/recovery infrastructure. Troubleshoot complex backup and recovery problems to include networking, application, server, hardware, and appliance related backup issues. Provide analytics, usage, capacity planning and reporting within the Commvault management and monitoring solution. Implement regular security updates and patches to related backup application servers and appliances in accordance with Federal Information and Information Systems requirements. Work with operation teams to develop and support enterprise infrastructure processes, tools, and environments to ensure a timely response to backup, restore, and data replication requests. Qualifications: Possesses a strong knowledge of Commvault data protection application. Knowledge of other technologies a plus (LAN, WAN, Microsoft Windows Servers, Linux, SQL database). Experience with DISA STIGs and applying to Commvault related systems. Perform security related tasks which include documentation, vulnerability scan review, assessment support, patch management, and auditing as required Ideally, you will also have: CommVault Certified Engineer Working knowledge of SAN and Cloud storage systems - EMC Unity and PURE Storage. Federal Agency issued security clearance. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government-contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package. Health, Dental, and Vision Life Insurance 401k Flexible Spending Account (Health, Dependent Care, and Commuter) Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: ************************************* For more information about CGS please visit: ************************** or contact: Email: ******************* #CJ $123,274.67 - $167,301.34 a year

Senior Mechanical (HVAC) Design Engineer 6+ YEARS OF EXPERIENCE We are seeking a Senior Mechanical Engineer to work in our Bethesda MD office. Projects include new construction and renovation in areas such as commercial, educational, retail, restaurant, multi-family, recreation, government and residential. Requirements include: BS or BAE in Mechanical or Architectural Engineering 6+ years of experience in building HVAC and plumbing systems design Fundamentals of Engineering/EIT certification with goal of obtaining PE License Proficiency in AutoCAD, Revit, and HVAC software Knowledge of the current building codes and standards (IBC, ASHRAE, NFPA) LEED or green building experience a plus but not required Primary responsibilities include: Designing HVAC, plumbing and fire protection systems Conducting existing condition site visits Use of AutoCAD and Revit to prepare construction documents Performing HVAC load calculations and making equipment selections Performing energy studies and life cycle cost analysis Preparing project specifications and technical reports Performing construction administration duties for projects This position requires the ability to work on several projects at once, so candidates must be self-disciplined and work efficiently. Creative solutions will often be required. Responsibilities include performing multi-discipline coordination within the office as well as interfacing effectively with clients and other members of the project time. Candidates should have strong communication, self-motivation and leadership skills.

At Whitman, Requardt & Associates, LLP, we are "People Focused and Project Driven". We have been in business for 110 years and we are known for our quality work and quality employees. This is your chance to join our team - help us to design the infrastructure that improve the world! Whitman, Requardt and Associates, LLP is seeking a motivated engineer with skills and/or focus on track engineering for freight railroads and/or public transit agencies. The candidate will be responsible for coordination and oversight of a wide variety of rail related design projects including, but not limited to MDOT Maryland Transit Administration, CSXT, WMATA, Amtrak, DRPT, and VPRA. Responsibilities: The responsibilities of this position include, but are not limited to: Responsible for managing and delivering quality transit/rail services on-time, within budget and to the satisfaction of the client Prepares and modifies reports, specifications, plans, schedules, environmental studies, and designs for projects. Serve as a technical resource leading a team providing rail track engineering and design services for clients Prepare cost estimate, determine scope of work, and prepare proposals and contracts on projects Coordinate and ensure completeness and accuracy of design effort Uses design software to prepare engineering and design documents. Submits documents to federal, state, and local agencies for review and obtains permits required. Participates in Design/Build efforts including consulting with contractor/construction personnel concerning design constructability as related to field conditions, sequencing and scheduling of construction activities. Attends onsite and offsite client meetings. Serves as technical liaison with clients on project efforts and coordinates technical efforts within discipline areas. Evaluates need for design changes and makes appropriate recommendations. Participates in project scoping and fee estimating and proposal preparation, interviews, and negotiations. Reviews assigned project(s) after award to define project scope, determine work procedures/sequences and develops schedules and budgets Provides coordination of project execution and control, in a given discipline area, to achieve continuity of purpose within scope, budget, and time schedules from initial start-up through project closeout Perform design calculations and conduct investigative analyses toward completion of assigned design tasks, and direct preparation of design specifications Organize scheduling of specific tasks and assignments Uses senior-level technical expertise to consider broad range of engineering solutions Responsible for the discipline-specific planning, work distribution, and leadership and adherence to the schedule, and budget on complex or unusual engineering projects Requirements: Bachelor's degree in Civil Engineering 16+ years of track design experience Professional Engineer, P.E. in Maryland. DC and Virginia PE's a plus Demonstrated knowledge of rail track design, management and implementation of transit/passenger/freight rail projects Familiarity with MDOT MTA, MDOT SHA, MDTA and other local agencies such as the City of Baltimore DOT a plus Advanced knowledge of the practical application of engineering principles, practices, and techniques, including AREMA guidelines Demonstrated experience in Microstation V8i, Inroads, and Open Rail Skill in Microsoft Office applications, particularly Word and Excel Ability to demonstrate strong attention to detail Ability to demonstrate strong organizational and time management skills Self-motivated and detail-oriented Benefits: WRA recognizes that employees play an important role in its success. Our commitment to full-time employees is reflected in the comprehensive benefits package we offer: Flexible work schedule options Competitive salary Leave accrual and paid holidays Healthcare benefits Group Life Insurance, as well as additional optional life Insurance, short and long term disability insurance Flexible spending accounts for medical and dependent care reimbursement 401(k) Retirement Plan Tuition Reimbursement Employee Assistance Program Parental and maternity leave benefits WRA is an equal opportunity/affirmative action employer and complies with all applicable anti-discrimination laws. Applicants must be currently authorized to work in the United States on a full-time basis without the need for employment-based visa sponsorship now or in the future. WRA will not sponsor applicants for U.S. work visa status for this opportunity. (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa) The expected compensation range for this position is $100,000.00 - $180,000.00. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate's relevant knowledge, training, skills, work location, and/or experience. Position # 2621 #LI - Onsite #LI - Senior Level

We are seeking a highly experienced and security-minded Senior Staff Engineer - Backend & Cloud, Tech Lead to join our team in a hybrid capacity based in Seattle, WA. This role blends deep technical expertise with leadership responsibilities, requiring a strong foundation in backend development, cloud-native architecture, and infrastructure automation. The ideal candidate will lead engineering efforts while coordinating effectively with offshore teams to ensure delivery of scalable, secure, and maintainable systems. Responsibilities Participate in design, architecture and implementation of software systems solving complex problems. Includes defining, scoping and estimating stories and work artifacts. Ensure delivery of high quality, scalable, maintainable and well tested code Document designs. Provide on-call support for systems the team owns. Serve as the face of the offshore development team and stakeholders Act as the primary point of contact for Engineering Managers (EMs) and other onsite stakeholders Ensure effective communication and coordination between onsite and offshore teams Work with tech leads to align priorities, architecture decisions, and coding standards Break down epics and features into smaller technical stories for the offshore team Coordinate with other tech leads, ensuring that PR approvals follow defined processes Ensure offshore team participation in daily stand-ups and facilitate transparent status reporting Oversee delivery ownership for offshore contributions, ensuring timely and quality outcomes Manage knowledge transfer and attrition handling within the offshore team Handle issue escalation and proactively resolve blockers impacting the offshore team Provide progress updates and ensure accountability for the offshore team's commitments Qualifications 10+ years professional hands on experience delivering quality software Excellent proficiency in Java and Spring boot framework Experience with messaging technologies and streaming platforms (Kafka) Experience with RESTful architecture and micro services Proficiency with Cloud technologies (AWS, Kubernetes) GCP is a plus Must know modern infrastructure tools and pipelines (GitLab, CI/CD, Terraform) Test automation experience at all levels (Unit, Integration, Regression and Performance/Load) Familiar with logging and metrics tools (New Relic, Splunk) Should be able to articulate and architect a well-designed system Familiarity with relation databases is a plus Retail experience is a plus Understanding of modern warehouse management systems is a bonus Experience with messaging technologies and streaming platforms (Kafka) Experience with RESTful APIs, micro services and event driven architecture Proficiency with Cloud technologies (AWS, Kubernetes, Docker) GCP is a plus Must know modern infrastructure tools and pipelines (Github, GitLab, CI/CD, Terraform) Familiar with logging and telemetry tools (New Relic, Splunk, Dynatrace) Familiarity with relation databases We have a global team of amazing individuals working on highly innovative enterprise projects & products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast growth fintech, and multiple Silicon Valley startups. What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM) and ISO 14001:2015 (EMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun. People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves. To know more about Confiz Limited, visit *************************************** #J-18808-Ljbffr