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ai/ml engineer

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full stack developer - ii Jobs in Washington

full stack developer - ii

ai ml developer

VERSA Integrated Solutions

<p>Position: AI/ML Engineer</p><p>Location: Washington, DC Metro Area (Hybrid/Onsite based on customer requirements)</p><p>Employment Type: Full-Time</p><p>Salary: Commensurate with Experience</p><p>About VERSA Integrated Solutions</p><p>VERSA Integrated Solutions is a premier provider of Information Technology, Artificial Intelligence, Cybersecurity, Cloud, Data Analytics, and Engineering services supporting Federal Government agencies. We help agencies modernize operations through innovative technologies, secure architectures, and mission-driven solutions. Our teams work on high-impact initiatives that improve decision-making, operational efficiency, and citizen services.</p><p>Position Summary</p><p>VERSA Integrated Solutions is seeking an experienced AI/ML Engineer to design, develop, deploy, and maintain Artificial Intelligence (AI) and Machine Learning (ML) solutions supporting Federal Government customers. The successful candidate will work closely with data scientists, software engineers, cloud architects, cybersecurity professionals, and business stakeholders to build intelligent applications that leverage predictive analytics, machine learning, generative AI, and large language models (LLMs).</p><p>The AI/ML Engineer will support the full lifecycle of AI solutions&mdash;from data preparation and model development to deployment, monitoring, optimization, and governance&mdash;while ensuring compliance with federal security, privacy, and Responsible AI requirements.</p><p>Position Objectives</p><p>The AI/ML Engineer will:</p><ul><li>Design and implement scalable AI and ML solutions.&bull; Build and optimize machine learning models for structured and unstructured data.&bull; Develop data pipelines to support AI workloads.&bull; Integrate AI capabilities into enterprise applications.&bull; Ensure AI solutions comply with federal security, privacy, and governance requirements.&bull; Collaborate with cross-functional teams to deliver mission-focused outcomes.</li></ul><p>Major Duties &amp; Responsibilities</p><p>AI &amp; Machine Learning Development</p><ul><li>Design, develop, train, test, and deploy machine learning models.&bull; Build supervised, unsupervised, reinforcement learning, and deep learning solutions.&bull; Develop predictive analytics and classification models.&bull; Optimize model performance and accuracy through feature engineering and hyperparameter tuning.&bull; Build reusable AI components and services.</li></ul><p>Generative AI &amp; Large Language Models</p><ul><li>Develop solutions using Large Language Models (LLMs).&bull; Implement Retrieval-Augmented Generation (RAG) architectures.&bull; Engineer prompts and fine-tune models where appropriate.&bull; Evaluate AI model outputs for accuracy, explainability, and bias.&bull; Support secure deployment of generative AI capabilities.</li></ul><p>Data Engineering &amp; Preparation</p><ul><li>Build and maintain data ingestion and transformation pipelines.&bull; Clean, normalize, and prepare structured and unstructured datasets.&bull; Collaborate with Data Engineers to optimize data availability and quality.&bull; Implement feature stores and model-ready datasets.</li></ul><p>MLOps &amp; Model Lifecycle Management</p><ul><li>Automate model training, testing, deployment, and monitoring.&bull; Develop CI/CD pipelines for machine learning solutions.&bull; Monitor model drift, performance degradation, and retraining needs.&bull; Maintain version control for models, datasets, and code.</li></ul><p>Responsible AI &amp; Governance</p><ul><li>Implement Responsible AI principles including fairness, transparency, explainability, and accountability.&bull; Ensure compliance with NIST AI Risk Management Framework, Executive Orders, and agency-specific AI policies.&bull; Document AI models, assumptions, limitations, and validation results.</li></ul><p>Collaboration &amp; Innovation</p><ul><li>Partner with software developers, cloud engineers, and business analysts to integrate AI into enterprise solutions.&bull; Present technical findings and recommendations to stakeholders.&bull; Evaluate emerging AI technologies and recommend improvements.</li></ul><p>Required Technical Skills</p><ul><li>Python&bull; SQL&bull; TensorFlow&bull; PyTorch&bull; Scikit-learn&bull; Pandas&bull; NumPy&bull; Hugging Face Transformers&bull; LangChain or similar orchestration frameworks&bull; Azure AI Services or Azure Machine Learning&bull; AWS SageMaker (preferred)&bull; Git/GitHub&bull; Docker&bull; Kubernetes&bull; RESTful APIs</li></ul><p>Preferred Skills</p><ul><li>Experience with Retrieval-Augmented Generation (RAG)&bull; Prompt engineering for LLMs&bull; Vector databases (e.g., Pinecone, Azure AI Search)&bull; Knowledge graph integration&bull; Natural Language Processing (NLP)&bull; Computer Vision&bull; Time-series forecasting&bull; Knowledge of FedRAMP and Zero Trust environments</li></ul><p>Required Qualifications</p><ul><li>Strong analytical and problem-solving skills.&bull; Excellent written and verbal communication skills.&bull; Ability to translate business requirements into AI-driven technical solutions.&bull; Experience working in Agile/DevSecOps environments.&bull; Experience supporting federal government customers is highly desirable.</li></ul><p>Education</p><p>Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, Mathematics, Statistics, or a related field. A Master's degree is preferred. Equivalent experience may be substituted for education.</p><p>Experience Levels</p><p>Junior (0&ndash;4 Years)</p><ul><li>Experience with Python and machine learning fundamentals.&bull; Exposure to cloud platforms and data science tools.&bull; Participation in AI/ML projects through coursework, internships, or professional experience.</li></ul><p>Intermediate (5&ndash;9 Years)</p><ul><li>Development and deployment of production AI/ML models.&bull; Experience with MLOps pipelines and cloud AI services.&bull; Collaboration with cross-functional software development teams.</li></ul><p>Senior (10&ndash;14 Years)</p><ul><li>Leadership in designing enterprise AI solutions.&bull; Expertise in generative AI, LLMs, and Responsible AI practices.&bull; Experience mentoring junior engineers and leading technical initiatives.</li></ul><p>Subject Matter Expert (15+ Years)</p><ul><li>Recognized authority in enterprise AI strategy and implementation.&bull; Experience shaping AI governance and modernization initiatives for large organizations.&bull; Trusted advisor to executive leadership on AI adoption and emerging technologies.</li></ul><p>Preferred Certifications</p><ul><li>Microsoft Certified: Azure AI Engineer Associate&bull; Microsoft Certified: Azure Data Scientist Associate&bull; AWS Certified Machine Learning &ndash; Specialty&bull; Google Professional Machine Learning Engineer&bull; TensorFlow Developer Certificate&bull; Databricks Certified Machine Learning Professional&bull; ITIL&reg; 4 Foundation (preferred)</li></ul><p>Desired Federal Experience</p><p>Experience supporting one or more of the following agencies is highly desirable:</p><ul><li>U.S. Census Bureau&bull; National Institutes of Health (NIH)&bull; Centers for Medicare &amp; Medicaid Services (CMS)&bull; Department of Commerce&bull; Department of Homeland Security (DHS)&bull; Department of Defense (DoD)&bull; Department of Labor (DOL)</li></ul><p>Security Clearance</p><ul><li>Ability to obtain and maintain a Public Trust or higherclearance, depending on customer requirements.</li></ul><p>Work Environment</p><ul><li>Hybrid or onsite within the Washington, DC Metro Area based on customer requirements.&bull; Collaborative, fast-paced environment supporting mission-critical federal AI initiatives.&bull; Occasional travel to customer sites may be required.</li></ul><p>Why Join VERSA?</p><p>At VERSA, you'll work alongside experts delivering innovative AI solutions that help federal agencies solve complex mission challenges. We invest in continuous learning, professional certifications, and opportunities to work with cutting-edge technologies, including machine learning, generative AI, cloud platforms, and advanced analytics.</p><p>Equal Employment Opportunity</p><p>VERSA Integrated Solutions is an Equal Opportunity Employer. We are committed to creating an inclusive workplace where all employees are respected, valued, and empowered to succeed. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other status protected by applicable law.</p><p>Pay: $118,467.98 - $142,671.13 per year</p><p>Benefits:</p><ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li><li>Retirement plan</li></ul><p>Work Location: Hybrid remote in Washington, DC 20591</p>

Software Engineer - Data, AI/ML & Analytics

Databricks

<div><p>CSQ227R88</p>
<p><b>PLEASE NOTE</b><b>:
</b><br>
Due to federal contract requirements and client site access obligations, <b>U.S. citizenship and eligibility for a U.S. government secret clearance are required</b> to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.</p>
<p>As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data &amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.</p>
<p>This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.</p>
<p>The impact you will have:</p>
<ul><li>Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration</li>
<li>Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer</li>
<li>Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.</li>
<li>Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.</li>
<li>Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.</li>
<li>Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.</li>
<li>Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.</li>
<li>Reusable Assets &amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.</li>
</ul><p>What we look for:</p>
<ul><li>6+ years experience in data engineering, data platforms &amp; analytics, or software engineering</li>
<li>Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks</li>
<li>Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one</li>
<li>Deep experience with distributed computing with Apache Spark&trade; and knowledge of Spark runtime internals</li>
<li>Familiarity with CI/CD for production deployments</li>
<li>Working knowledge of MLOps, ML/AI models and AI APIs</li>
<li>Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.</li>
<li>Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.</li>
<li>Documentation and white-boarding skills.</li>
<li>Experience working with enterprise clients and managing conflicts across a broad stakeholder range</li>
<li>Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.</li>
<li>Travel to customers 20% of the time</li>
<li>Databricks Certification</li>
</ul><div><div><div><p><b>Pay Range Transparency</b></p>
<p>Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.<br>
<br>
</p></div><div>Zone 1 Pay Range</div>
<div>$180,656&mdash;$248,360 USD
</div></div><div><div>Zone 2 Pay Range</div>
<div>$180,656&mdash;$248,360 USD
</div></div><div><div>Zone 3 Pay Range</div>
<div>$180,656&mdash;$248,360 USD
</div></div><div><div>Zone 4 Pay Range</div>
<div>$180,656&mdash;$248,360 USD
</div></div></div><div><p><b>About Databricks</b></p>
<p>Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
<br>
<br>
<b>Benefits
</b><br>
<br>
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.<br>
<br>
<br>
</p><p><b>Our Commitment to Diversity and Inclusion</b></p>
<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p>
<p><b>Compliance</b></p>
<p><b>If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</b></p></div></div>

Sr. Forward Deployed Engineer (FDE) - Public Sector

Parsons

<div>In a world of possibilities, pursue one with endless opportunities. Imagine Next!<br>
<p></p>
At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what&rsquo;s possible.<p></p><p><b><br>
Job Description:</b></p><p>
Parsons is looking for an amazingly talented <b>Senior Data Scientist / AI Specialist (Palantir &ndash; Foundry) </b>to join our team! The Air Force Mission Assurance (MA) Construct Support Team requires highly specialized technical, analytical, and investigative support services. In this role you will get to execute the role of Data Platform User Experience and Application Designer, Data Collection and Entry by designing the user interface and experience of a data collection platform. You will provide data platform enablement and analytical support to ensure that MA business process workflows are scalable, maintainable, and decision-relevant.</p><p></p><p><b>
What You'll Be Doing:</b></p><ul><li><p>
Will execute the role of Data Platform User Experience and Application Designer, Data Collection and Entry by designing the user interface and experience of a data collection platform, specifically focusing on making the process of entering data as intuitive and efficient as possible for users, ensuring accurate data capture and minimizing errors</p></li><li><p>
Maintain documentation, training materials, and knowledge transfer processes to support Air Force personnel.</p></li><li><p>
Provide ongoing system maintenance, enhancement, and performance optimizations</p></li><li><p>
Capability development, integration with DoD MA systems and Dept of AF Data Fabric systems to ensure USAF MA Enterprise data system of record capabilities are maintained.</p></li><li><p>
Work with the requirement business owners to understand needs and translate requirements into technical specifications and deliverables.</p></li><li><p>
Analytical Support to Mission Assurance Activities</p></li><li><p>
Enterprise Platform Coordination and Advocacy Support</p></li><li><p>
Data Architecture Review, Evolution, Stewardship, and Process Support</p></li><li><p>
Workflow Data Platform Enablement, Sustainment, and Automation</p></li></ul><p></p><p><b>
What Required Skills You'll Bring:</b></p><ul><li><p>
Active Top Secret/SCI security clearance</p></li><li><p>
10+ years of related experience and a Bachelors Degree or equivalent work experience</p></li><li><p>
Apply advanced analytics, AI/ML, and statistical methods to derive insights from complex mission data sets, including design, development, evaluation, and application of AI- and ML-based analytical methods to support MA use cases.
</p></li><li><p>Translation of analytical and AI-driven insights into decision-relevant products for senior leaders and MA stakeholders.</p></li><li><p>
Ability to implement, sustain, and scale MA data workflows, analytical models, and decision-support tools</p></li><li><p>
Align MA data workflows with evolving MA processes, governance requirements, and decision-support needs</p></li><li><p>
Configure Government-directed data platform capabilities to enable MA data analysis, monitoring, reporting, and automation</p></li><li><p>
Implement, sustain, and continuously improve MA&ndash;related business process workflows, including coordination workflows, governance preparation workflows</p></li><li><p>
Experience working in Palantir Foundry&rsquo;s data integration and platform application</p></li></ul><p><b><br>
What Desired Skills You'll Bring:</b></p><ul><li><p>
Foundry Application Developer certification</p></li></ul><p></p><p><b>
Security Clearance Requirement:</b></p>
None<p></p>
This position is part of our Federal Solutions team.<p></p>
The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what&rsquo;s next to deliver the solutions our customers need now.<p></p>
Salary Range: $125,100.00 - $225,200.00<p></p>
We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!<p></p>
Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.<p></p>
We truly invest and care about our employee&rsquo;s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest&mdash;APPLY TODAY!<p></p><div>
Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.</div></div>
<br><div><div><div>COMPETITIVE BENEFIT OFFERINGS</div></div><div><div><div><br>
Financial Wellness</div><div><br>
We care about your financial wellbeing. Parsons offers competitive pay and retirement plans to help you build wealth for the future while giving you the flexibility to diversify your investments.</div></div><div><div>
Work Life Harmony</div><div><br>
Balance in life is important and time away from the office is imperative to allow you to refresh and focus your attention on the things that matter to you. Parsons supports your time away by providing paid time off and paid flexible holidays.</div></div><div><div>
Career Development</div><div><br>
We are committed to fostering the personal and professional growth of our employees. Develop and advance yourself though our comprehensive training, educational and mentorship programs.</div></div><div><div><br>
Veteran Support</div><div><br>
We provide Industry leading benefits to support veterans and active-duty members to provide security for you and your family by offering robust leave and benefits; including paid active-duty military leave and paid time off when transitioning back to civilian life.</div></div><div><div>
Mind &amp; Body</div><div><br>
At Parsons we inspire healthier habits, heathier minds, and a healthier you through our wellness program. Participate in our weekly Meditation Mondays and Wellness Wednesdays. Wellness, at Parsons, is more than just your annual checkup.</div></div><div><div>
Health</div><div><br>
Health is not a one size fits all. At Parsons, we offer a robust Employee Assistance Program as well as comprehensive medical, dental and vision plans through large, national carriers with the choice of regional PPO, HDHP, or HMO networks.</div></div></div></div><p></p>

Senior Data Scientist and AI Specialist

Milestone Technologies

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<br>Company Overview
<br><br>
Milestone Technologies is a global IT managed services firm that partners with organizations to scale their technology, infrastructure and services to drive specific business outcomes such as digital transformation, innovation, and operational agility. Milestone is focused on building an employee-first, performance-based culture and for over 25 years, we have a demonstrated history of supporting category-defining enterprise clients that are growing ahead of the market. The company specializes in providing solutions across Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ServiceNow. Milestone culture is built to provide a collaborative, inclusive environment that supports employees and empowers them to reach their full potential.
<br><br>
Our seasoned professionals deliver services based on Milestone’s best practices and service delivery framework. By leveraging our vast knowledge base to execute initiatives, we deliver both short-term and long-term value to our clients and apply continuous service improvement to deliver transformational benefits to IT. With Intelligent Automation, Milestone helps businesses further accelerate their IT transformation. The result is a sharper focus on business objectives and a dramatic improvement in employee productivity. Through our key technology partnerships and our people-first approach, Milestone continues to deliver industry-leading innovation to our clients. With more than 3,000 employees serving over 200 companies worldwide, we are following our mission of revolutionizing the way IT is deployed.
<br><br>
Job Overview
<br><br>
AI-Factory Observability Principal
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We are operating large-scale AI training and inference data centers, and we need an expert who can see the entire stack at once — from the chiller plant and switchgear to the GPU fabric and the Kubernetes scheduler. This role spans facilities/OT telemetry (cooling, power) and IT/AI infrastructure observability (compute, network, accelerators), unified by a single goal: complete, real-time, predictive visibility into how AI infrastructure consumes power, generates heat, moves data, and delivers compute.
<br>You will design the observability platform that ingests signals from building and electrical systems, server and network fabrics, Kubernetes, and GPU/accelerator clusters — then apply AI/ML models on top of that telemetry to optimize utilization, predict failures, reduce energy cost, and surface insights operators can act on. You are equally comfortable reading a BACnet point list and a GPU NVLink topology, and you can explain to both facilities and platform teams why their data belongs in the same system.
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Observability architecture & strategy
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Define and own the end-to-end observability architecture covering metrics, logs, traces, and events across facilities and IT domains.
<br>Establish standards for instrumentation, telemetry pipelines, data retention, cardinality management, and a unified data model that lets power, thermal, network, and compute signals be correlated in one place.
<br><b>Design for scale:</b> hundreds of thousands of time series per site, high-frequency power and thermal sampling, and GPU-cluster-level granularity.
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Facilities & OT integration (BMS / EPMS)
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Integrate Building Management System (BMS) telemetry — CRAC/CRAH units, chillers, cooling loops, airflow, temperature/humidity, leak detection — into the central observability platform (BACnet, Modbus, MQTT, OPC-UA).
<br>Integrate Electrical Power Monitoring System (EPMS) data — switchgear, UPS, PDUs, busways, branch-circuit metering, generators — for real-time power draw, capacity, and quality monitoring (Modbus, DNP3, IEC 61850).
<br>Build correlated views of power and thermal behavior against compute workload so operators understand cause and effect (e.g., a training job's effect on rack power and inlet temperatures).
<br>Partner with facilities engineering on PUE, capacity planning, stranded-power recovery, and thermal optimization.
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AI cluster & Kubernetes observability
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Architect observability for AI/GPU clusters — accelerator utilization, memory pressure, thermals, ECC/Xid errors, power capping, and job-level efficiency (e.g., via NVIDIA DCGM, accelerator telemetry exporters).
<br><b>Instrument Kubernetes environments running AI/ML workloads:</b> cluster, node, pod, and workload metrics, scheduler behavior, GPU/accelerator allocation, and operator health.
<br>Provide visibility into training and inference pipelines — throughput, queue depth, checkpoint behavior, straggler detection, and cost-per-token / cost-per-training-step metrics.
<br>Surface noisy-neighbor, fragmentation, and underutilization patterns across multi-tenant clusters.
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Network observability
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Design monitoring for high-performance data center fabrics, including the AI back-end network (RDMA, InfiniBand and/or RoCE Ethernet) and front-end/management networks.
<br>Capture fabric health, congestion, link errors, latency, and bandwidth utilization using streaming telemetry, SNMP, gNMI/gRPC, NetFlow/sFlow, and fabric managers (e.g., InfiniBand UFM).
<br>Correlate network behavior with distributed training performance to diagnose collective-communication bottlenecks.
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AI/ML-driven optimization & insight (AIOps)
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Apply ML and AI models to the telemetry estate for anomaly detection, predictive maintenance, capacity forecasting, and automated root-cause analysis.
<br>Build models and pipelines that recommend (or automate) actions: dynamic cooling and power optimization, workload placement, power capping under thermal/electrical constraints, and failure pre-emption.
<br>Leverage LLMs and modern AI techniques to summarize incidents, accelerate root-cause investigation, query telemetry in natural language, and generate operator-facing insights from large volumes of logs and metrics.
<br>Establish the feedback loop where observability data trains the models that, in turn, optimize the infrastructure being observed.
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Cross-functional leadership
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Act as the technical authority connecting facilities, network, platform, SRE, and AI/ML teams around a shared observability practice.
<br>Define SLOs, alerting strategy, and on-call signal quality; drive down alert noise and mean-time-to-resolution.
<br>Mentor engineers and set the technical direction for the observability roadmap.
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Required Qualifications
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8+ years in infrastructure, SRE, observability, or data center engineering, with 3+ years in an architect or principal-level role.
<br>Demonstrated experience designing and operating observability platforms at scale (metrics, logs, traces).
<br>Expertise in Datadog, Dynatrace, Grafana, Prometheus and Grafana.
<br>Hands-on experience integrating BMS and EPMS data, and a working understanding of data center mechanical and electrical systems (cooling topologies, power distribution, redundancy, capacity).
<br>Strong systems monitoring background — Linux/server fleets, hardware health, baseboard management (IPMI/Redfish).
<br>Strong network monitoring background, including high-performance / low-latency fabrics relevant to AI workloads. Expertise in SNMP, WMI.
<br>Production experience with Kubernetes and observability of containerized workloads.
<br>Experience operating or monitoring GPU / AI-accelerator clusters and understanding of distributed training/inference behavior.
<br>Practical experience applying AI/ML models to operational data (anomaly detection, forecasting, or AIOps), and comfort using LLMs to derive insights and automate analysis.
<br>Proficiency in at least one language for data/automation work (Python preferred), and infrastructure-as-code practices.
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Preferred Qualifications
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Experience with tooling such as OpenTelemetry, VictoriaMetrics/Thanos, Loki, Tempo, Elastic, Splunk.
<br><b>Familiarity with OT/industrial protocols:</b> BACnet, Modbus, OPC-UA, DNP3, IEC 61850, MQTT.
<br>Familiarity with GPU/accelerator telemetry (NVIDIA DCGM and exporters) and InfiniBand/RDMA monitoring (e.g., UFM).
<br><b>Experience with network telemetry:</b> gNMI/OpenConfig streaming, SNMP, NetFlow/sFlow.
<br>Experience with time-series data at high cardinality, stream processing, and data lake/warehouse patterns for telemetry.
<br>Background in MLOps, model deployment, or building data/feature pipelines for operational ML.
<br>Exposure to power and cooling optimization, PUE improvement, or sustainability/energy-efficiency initiatives.
<br>Relevant certifications (e.g., data center facilities, Kubernetes/CKA, cloud or networking) are a plus.
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Compensation
<br><br>
<b>Estimated Pay Range:</b> $173,600.00 - $180,000.00 USD/yr. We also offer comprehensive benefits options which vary depending on role, location, and employment type. The Talent Acquisition Partner can share more details about compensation or benefits for the role during the interview process.
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Exact compensation and offers of employment are dependent on circumstances of each case and will be determined based on job-related knowledge, skills, experience, licenses or certifications, and location.
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Our Commitment to Diversity & Inclusion
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At Milestone we strive to create a workplace that reflects the communities we serve and work with, where we all feel empowered to bring our full, authentic selves to work. We know creating a diverse and inclusive culture that champions equity and belonging is not only the right thing to do for our employees but is also critical to our continued success.
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Milestone Technologies provides equal employment opportunity for all applicants and employees. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, gender, gender identity, marital status, age, disability, veteran status, sexual orientation, national origin, or any other category protected by applicable federal and state law, or local ordinance. Milestone also makes reasonable accommodations for disabled applicants and employees.
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We welcome the unique background, culture, experiences, knowledge, innovation, self-expression and perspectives you can bring to our global community. Our recruitment team is looking forward to meeting you.

AI-Factory Observability Principal

hatch IT

<div><p>hatch I.T. is partnering with Expression to find an<b> AI/ML Engineer</b>. See details below:</p>
<p><b>
About The Role:</b></p>
<p>
Expression is seeking an experienced AI/ML Engineer to design, optimize, and evaluate machine learning capabilities that operate efficiently on heterogeneous edge computing platforms. Working closely with software engineers, you will develop AI pipelines that enable intelligent signal characterization, data prioritization, distributed inference, and decision support while operating within constrained compute, bandwidth, and communications environments.</p>
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The ideal candidate has strong expertise in applied machine learning, modern LLM technologies, edge AI optimization, and production deployment of AI systems.</p>
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Security Clearance</b>: Eligible to obtain Secret or Top Secret Clearance (U.S citizenship required)</p>
<p><b>
About the Company:</b></p>
<p>
Founded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression&rsquo;s &ldquo;Perpetual Innovation&rdquo; culture focuses on creating immediate and sustainable value for their clients via agile delivery of tailored solutions built through constant engagement with their clients. Expression was ranked #1 on the Washington Technology 2018's Fast 50 list of fastest growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.</p>
<h3 class="jobSectionHeader"><b>
Responsibilities:</b></h3><div>
<ul><li>Design and implement AI capabilities supporting intelligent data characterization, classification, prioritization, and decision support.</li>
<li>Evaluate, optimize, and deploy open-weight foundation models appropriate for resource-constrained edge environments.</li>
<li>Develop efficient inference pipelines supporting heterogeneous compute environments ranging from embedded processors to workstation-class systems.</li>
<li>Implement Retrieval-Augmented Generation (RAG), semantic search, and knowledge retrieval capabilities where appropriate.</li>
<li>Design AI orchestration workflows supporting distributed inference across multiple edge devices.</li>
<li>Develop evaluation methodologies for AI accuracy, latency, resource utilization, and operational performance.</li>
<li>Implement model monitoring, observability, testing, and automated evaluation frameworks.</li>
<li>Collaborate with software engineers to integrate AI models into production software platforms.</li>
<li>Optimize models using quantization, pruning, distillation deployment technologies.</li>
<li>Support experimentation involving multimodal data sources, sensor-derived features, and structured mission data.</li>
<li>Develop AI governance practices including model evaluation, explainability, responsible AI, and secure deployment.</li>
<li>Document model development, evaluation results, and technical recommendations.</li>
<li>Support customer demonstrations and prototype evaluations.</li>
</ul></div><h3 class="jobSectionHeader"><b>Qualifications:</b></h3><div>
<ul><li>Bachelor degree in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, Applied Mathematics, or related discipline. An advanced degree is preferred.</li>
<li>5-8+ years of professional experience developing production AI or machine learning applications.</li>
<li>Strong Python programming experience.</li>
<li>Experience with PyTorch.</li>
<li>Experience deploying LLMs in production environments.</li>
<li>Experience with LangGraph, LangChain, CrewAI, Semantic Kernel, or similar orchestration frameworks.</li>
<li>Experience implementing Retrieval-Augmented Generation (RAG).</li>
<li>Experience with vector databases and semantic search.</li>
<li>Experience deploying AI models on edge or resource-constrained devices.</li>
<li>Experience with model optimization techniques including quantization, model compression, or inference acceleration.</li>
<li>Experience designing evaluation frameworks for AI systems.</li>
<li>Experience with Docker and cloud-native AI deployment.</li>
<li>Excellent communication and collaboration skills.</li>
</ul></div><h3 class="jobSectionHeader"><b>Preferred Qualifications:
</b></h3><div><ul><li>Experience applying AI to sensor analytics, time-series data, or signal processing.</li>
<li>Experience with software-defined radio data, RF analytics, or geospatial data analytics.</li>
<li>Experience developing multimodal AI applications.</li>
<li>Experience deploying AI across distributed edge computing environments..</li>
<li>Experience supporting DoD, Intelligence Community, or Federal customers.</li>
<li>Experience working in bandwidth-constrained or disconnected operational environments.</li>
<li>Experience supporting National Security or Federal Civilian customers.</li>
</ul>
</div><div><div><p><b>Benefits:</b></p>
<p>
Expression offers competitive salaries and benefits, such as:</p>
<ul>
<li>401k matching</li>
<li>PPO and HDHP medical/dental/vision insurance</li>
<li>Education reimbursement up to $10,000/yr</li>
<li>Complimentary life insurance</li>
<li>Generous PTO and 11 days of holiday leave</li>
<li>Onsite gym facility and trainer</li>
<li>Commuter Benefits Plan</li>
<li>In-office Cold Brew Coffee</li>
</ul>
</div></div><p>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

AI/ML Engineer

<p>Position: Data Engineer</p><p>Department: Federal Programs</p><p>Location: Washington, DC Metro Area (Hybrid/Onsite based on customer requirements)</p><p>Employment Type: Full-Time</p><p>Salary: Commensurate with Experience</p><p>About VERSA Integrated Solutions</p><p>VERSA Integrated Solutions delivers innovative Cloud, Data, Artificial Intelligence, Cybersecurity, and Enterprise IT solutions to Federal Government agencies. We help agencies modernize mission-critical systems by implementing secure, scalable, cloud-native technologies that enable advanced analytics, operational excellence, and data-driven decision making.</p><p>Position Summary</p><p>VERSA Integrated Solutions is seeking a highly motivated Data Engineer to design, build, optimize, and maintain enterprise data platforms supporting Federal Government customers. The Data Engineer develops robust ETL/ELT pipelines, cloud-based data integration solutions, and enterprise data repositories that support business intelligence, artificial intelligence, reporting, and operational analytics.</p><p>The successful candidate will collaborate closely with Data Architects, AI/ML Engineers, Database Administrators, Software Developers, Cloud Engineers, and Business Analysts to ensure high-quality, secure, and scalable data solutions.</p><p>Position Objectives</p><p>The Data Engineer will:</p><ul><li>Design enterprise data pipelines.&bull; Integrate structured and unstructured data sources.&bull; Support cloud data modernization initiatives.&bull; Improve enterprise data quality.&bull; Enable analytics and AI initiatives.&bull; Automate data processing workflows.</li></ul><p>Major Duties &amp; Responsibilities</p><p>Data Pipeline Development</p><ul><li>Design, develop, and maintain scalable ETL/ELT pipelines.&bull; Integrate internal and external data sources.&bull; Automate ingestion, transformation, and validation processes.&bull; Optimize data movement across enterprise platforms.&bull; Monitor pipeline performance and reliability.</li></ul><p>Cloud Data Engineering</p><p>Support enterprise cloud platforms including:</p><ul><li>Azure Data Factory&bull; Azure Synapse Analytics&bull; Azure Data Lake&bull; Microsoft Fabric&bull; AWS Glue&bull; AWS Redshift&bull; Databricks</li></ul><p>Develop cloud-native data integration solutions supporting modernization initiatives.</p><p>Data Integration</p><ul><li>Develop APIs supporting enterprise integrations.&bull; Process structured, semi-structured, and unstructured data.&bull; Build real-time and batch processing solutions.&bull; Support streaming technologies such as Apache Kafka and Azure Event Hub.</li></ul><p>Data Quality</p><ul><li>Validate incoming datasets.&bull; Develop automated quality checks.&bull; Monitor completeness and accuracy.&bull; Resolve data anomalies.&bull; Implement data lineage and audit capabilities.</li></ul><p>Analytics Support</p><p>Provide data services supporting:</p><ul><li>Power BI&bull; Tableau&bull; AI/ML models&bull; Executive dashboards&bull; Predictive analytics&bull; Operational reporting</li></ul><p>DevSecOps</p><p>Collaborate with engineering teams to:</p><ul><li>Automate deployments&bull; Implement Infrastructure as Code&bull; Support CI/CD pipelines&bull; Improve monitoring and observability&bull; Secure enterprise data environments</li></ul><p>Required Technical Skills</p><p>Languages</p><ul><li>Python&bull; SQL&bull; Spark&bull; PySpark&bull; PowerShell</li></ul><p>Cloud</p><ul><li>Azure&bull; Azure Data Factory&bull; Azure Synapse&bull; Azure SQL&bull; Azure Storage&bull; Microsoft Fabric</li></ul><p>Databases</p><ul><li>SQL Server&bull; PostgreSQL&bull; Oracle&bull; Snowflake&bull; Databricks</li></ul><p>Tools</p><ul><li>Git&bull; GitHub&bull; Azure DevOps&bull; Terraform&bull; Docker&bull; Kubernetes</li></ul><p>Preferred Skills</p><ul><li>Apache Kafka&bull; Azure Event Hub&bull; REST APIs&bull; JSON/XML&bull; Delta Lake&bull; Data Lakehouse Architecture&bull; AI data preparation&bull; MLOps</li></ul><p>Education</p><p>Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, Mathematics, or a related discipline.</p><p>Experience Levels</p><p>Junior (0&ndash;4 Years)</p><ul><li>SQL development&bull; Python programming&bull; ETL fundamentals&bull; Database experience</li></ul><p>Intermediate (5&ndash;9 Years)</p><ul><li>Cloud data engineering&bull; Azure or AWS experience&bull; Production ETL development&bull; API integration</li></ul><p>Senior (10&ndash;14 Years)</p><ul><li>Enterprise cloud modernization&bull; Data platform leadership&bull; Performance optimization&bull; Mentoring junior engineers</li></ul><p>SME (15+ Years)</p><ul><li>Enterprise Data Engineering strategy&bull; Federal modernization leadership&bull; AI-enabled data platforms&bull; Large-scale cloud migration</li></ul><p>Preferred Certifications</p><ul><li>Microsoft Certified: Azure Data Engineer Associate&bull; Databricks Certified Data Engineer&bull; AWS Certified Data Engineer&bull; SnowPro Core&bull; ITIL&reg; Foundation</li></ul><p>Desired Federal Experience</p><p>Experience supporting NIH, CMS, Census Bureau, Commerce, DHS, DOD, or other Federal agencies is highly desirable.</p><p>Security Clearance</p><p>Ability to obtain and maintain a Public Trust or higher clearance, depending on customer requirements.</p><p>Why Join VERSA?</p><p>Join a team building modern data platforms that enable Federal agencies to leverage artificial intelligence, cloud computing, and enterprise analytics to accomplish mission objectives.</p><p>Equal Employment Opportunity</p><p>VERSA Integrated Solutions is an Equal Opportunity Employer committed to diversity, inclusion, and equal opportunity for all qualified applicants.</p><p>Pay: $120,000.00 - $150,000.00 per year</p><p>Benefits:</p><ul><li>401(k) matching</li><li>Health insurance</li><li>Life insurance</li><li>Paid time off</li><li>Vision insurance</li></ul><p>Work Location: Hybrid remote in Washington, DC 20591</p>

Data Engineer

DataAnnotation

<div>
 <strong>
  About The Job
  <br/>
  <br/>
 </strong>
 We are looking for existing quantitative professionals to help train AI models. In this role, you will work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analyses, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here. Some team members fit this work alongside a full-time role, while others treat it as their primary focus.
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 <br/>
 To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.
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 <strong>
  Advantages Of Contracting With Us
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   You'll be able to choose which projects you want to work on and when
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   You work on your own schedule, on your own computer, from the comfort of your own home
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   Projects are paid hourly starting at $50-$100+ USD per hour, with bonus rates available on some projects
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 </ul>
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  Responsibilities
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 </strong>
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  <li>
   Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.
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   Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.
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   Write clear technical explanations and well-documented analytical code.
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   Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.
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  </li>
 </ul>
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  Qualifications
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   2+ years of hands-on experience in a quantitative role or research environment &mdash; such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.
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   Some coding experience required, with comfort writing and reviewing analytical code end-to-end.
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   Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting).
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   Fluency in English (native or bilingual level) with strong writing skills.
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   A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.
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   Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).
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  </li>
 </ul>
 Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States, Canada, United Kingdom, Ireland, Australia, and New Zealand will be considered for this role. This is an independent contractor position.
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 #datascience
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Forecasting Analyst - AI Trainer

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