ai devops engineer

ai/ml developer

ai/ml engineer

data analyst intern

data analytics technical expert Jobs in Washington

data analytics technical expert

forecasting analyst ai trainer

DataAnnotation

<div>
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  About The Job
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 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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 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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  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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  Responsibilities
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   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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  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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 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

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>
<p>
The ideal candidate has strong expertise in applied machine learning, modern LLM technologies, edge AI optimization, and production deployment of AI systems.</p>
<p><b>
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

R&P Technologies

<div>Overview:
<div>
R&amp;P is looking for a senior level Business Financial Analyst (BFM) who wants to join our team. We are a mid-sized defense contractor providing Business Financial Management, Engineering, Logistics, Program Management and Technical Services to government clients. We are seeking a qualified candidate to provide direct support to the U.S. Maritime Administration (MARAD) in support of the Vessel Acquisition Manager (VAM) legacy as well as new contract activities. The successful candidate will work closely with the Program Manager, Contracting Officer's Representatives (CORs), financial management and contractor team to ensure accurate financial planning, execution, and stewardship of appropriated funds throughout the acquisition lifecycle.</div>
Responsibilities:
<ul><li>Provide comprehensive business financial management support for the VAM 1.0 and 2.0 acquisition programs.</li><li>
Monitor contract funding, obligations, expenditures, burn rates, and remaining balances across multiple task orders and contracts.</li><li>
Develop and maintain detailed financial tracking tools, obligation plans, spend plans, and funding execution reports.</li><li>
Analyze financial performance and identify potential funding shortfalls, underruns, or execution risks.</li><li>
Support development of annual and multi-year program budgets.</li><li>
Prepare budget exhibits, financial status reports, executive dashboards, and briefing materials for MARAD leadership.</li><li>
Reconcile commitments, obligations, expenditures, and available balances using applicable Federal financial management systems.</li><li>
Coordinate with Contracting Officers regarding funding modifications, incremental funding actions, de-obligations, and contract closeout activities.</li><li>
Support acquisition planning by validating funding availability for new contract actions and modifications.</li><li>
Perform financial forecasting and develop estimates for future contract requirements.</li><li>
Track appropriations, reimbursable funding, and execution against approved spend plans.</li><li>
Support responses to internal and external data calls, audits, and financial reviews.</li></ul>
Qualifications:
<ul><li>Bachelor&rsquo;s degree in Business Administration, Finance, Accounting, Economics, Public Administration, or related discipline.</li><li>
Minimum of 10 years of Federal budget or business financial management experience.</li><li>
Experience supporting major Federal acquisition programs.</li><li>
Experience supporting the U.S. Maritime Administration, the U.S. Department of Transportation, or other Federal civilian agencies. (Preferred)</li><li>
Strong analytical and quantitative skills.</li><li>
Advanced Microsoft Excel proficiency, including pivot tables, financial modeling, and dashboard development.</li><li>
SECRET Clearance or the ability to obtain one</li></ul>
EEO Statement:
<div>
R&amp;P Technologies provides equal opportunity for all persons and prohibits discrimination in employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability (including pregnancy, childbirth or related medical conditions), veteran or marital status, or any other factor prohibited by law. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leave, compensation, and training.</div><div></div><div><br>
R&amp;P maintains an Affirmative Action Plan to establish fair access to employment opportunities and to create a work community that is an accurate reflection of the qualified workforce. Due to security clearance requirements, U.S. citizenship is required for most positions</div>
Salary:
<div>
R&amp;P offers a highly competitive compensation package that includes contributions towards health insurance, 401(k) matching, and other non-salary benefits. Exact salary will be commensurate with experience and qualifications.</div></div>

Senior Business Financial Management (BFM) Analyst

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.
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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.
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Job Overview
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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.
<br><br>
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.
<br><br>
Required Qualifications
<br><br>
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.
<br><br>
Preferred Qualifications
<br><br>
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.
<br><br>
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.
<br><br>
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.
<br><br>
Our Commitment to Diversity & Inclusion
<br><br>
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.
<br><br>
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.
<br><br>
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

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

West 4th Strategy

<div><p>Help Desk &ndash; Tier I</p><p>
ROLE</p><p>
We need an experienced Help Desk Analyst at the U.S. Securities and Exchange Commission (SEC). The SEC's Division of Corporation Finance reviews public company filings to ensure investors are provided with the material information they need to make informed investment decisions. The Disclosure Review Program (DRP) System &mdash; also known as SWAT (System of Workflow and Activity Tracking) is the cloud-based platform that enables this review work, integrating with EDGAR and other SEC systems to support the review of transactional and annual filings. In this role, you will serve as the primary customer interface for Tier 1 support, managing the SWAT-Help mailbox, triaging and resolving incoming requests, maintaining helpdesk documentation, and delivering structured reporting on incident trends to SEC stakeholders. This is a full-time, remote opportunity. We can offer a competitive salary and a comprehensive benefits package.</p><p></p><p>
RESPONSIBILITIES</p><ul><li><p>
Deliver responsive Tier 1 support as the primary customer interface, managing the SWAT-Help mailbox, triaging incoming requests, and resolving issues at first contact wherever possible.</p></li><li><p>
Meet or exceed all SLAs across all severity levels by maintaining clear escalation paths, documented triage workflows, and real-time visibility into ticket status.</p></li><li><p>
Own all helpdesk Standard Operating Procedures, work instructions, user guides, and reference libraries, with the Operations Lead/Manager authoring and maintaining these artifacts in close collaboration with the project team.</p></li><li><p>
Continuously optimize the knowledge base to keep content accurate, well-structured, and easy to search, reducing repeat ticket volume and empowering users to resolve common issues independently.</p></li><li><p>
Automate routine support interactions, including troubleshooting steps, status update, and user management workflows, to reduce manual effort and increase overall service efficiency.</p></li><li><p>
Provide structured reporting and operational visibility on a quarterly cadence, summarizing incident statistics, outage reports, and trend analysis, delivered to SEC stakeholders.</p></li></ul><p></p><p>
REQUIRED SKILLS/EXPERIENCE</p><ul><li><p>
Troubleshooting: Proficiency in diagnosing software and application errors, operating systems (Windows, Linux), and basic network connectivity.</p></li><li><p>
Incident Management: Experience working within Tier 1 to Tier 3 escalation structures.</p></li><li><p>
Ticketing Systems: Familiarity with incident management platforms like ServiceNow, Jira.</p></li><li><p>
Analytical Thinking: Strong problem-solving skills and the ability to identify the root cause of an issue rather than just treating the symptoms.</p></li><li><p>
Software/Database Knowledge: Understanding of SQL, API basics, HTML/CSS, or various coding languages (like Java) is a major plus for debugging specific software products.</p></li></ul><p></p><p>
DESIRED SKILLS/EXPERIENCE</p><ul><li><p>
AI Experience: Some exposure to AI technologies including GitHub Copilot.</p></li></ul><p></p><p>
REQUIRED EDUCATION / CERTIFICATIONS</p><ul><li><p>
Bachelor&rsquo;s degree in Computer Science, Information Technology, Cybersecurity, or a related field</p></li><li><p>
Certifications: CompTIA A+ or HDI Customer Service Representative (CSR) certifications are highly valued for entry to mid-level roles.</p></li></ul><p></p><p>
LOCATION</p><ul><li><p>
Remote (Within eastern time zone)</p></li></ul><p></p><p>
CLEARANCE</p><ul><li><p>
U.S. citizenship is required. Dual citizenship is not permitted on this contract.</p></li><li><p>
Ability to obtain SEC public trust</p></li></ul><p></p><p>
CLIENT</p><ul><li><p>
Securities and Exchange Commission (SEC), Disclosure Review Program (DRP)</p></li></ul><p></p><p>
WORK HOURS</p><ul><li><p>
40 hours per week</p></li><li><p>
8 hours per day</p></li></ul><p></p><p>
EMPLOYMENT CLASSIFICATION</p><ul><li><p>
Employment Classification Eligibility &mdash; W2</p></li></ul><p></p><p>
RELOCATION</p><ul><li><p>
Not eligible for relocation benefits</p></li></ul><p></p><p>
COMPENSATION</p><ul><li><p>
Salary range: $70,000 &ndash; $90,000</p></li><li><p>
Benefits: Benefits package includes options for health, dental, and vision insurance coverage; 401k contribution options</p></li></ul><p></p><p>
West 4th Strategy is an Equal Opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, gender, sexual orientation, ancestry, national origin, age, marital status, mental disability, physical disability, medical condition, pregnancy, political affiliation, military or veteran status, or any other basis prohibited by federal or state law.</p><p></p><p>
Other Considerations: applicants will be subject to a background investigation. Individual&rsquo;s primary workstation is located in an office area. The noise level in this environment is low to moderate. Regularly required to sit for extended periods up to 80% of the time; frequently required to move about to access file cabinets and use office equipment such as PC, copier, fax, telephone, cell phone, etc. Occasionally required to reach overhead, bend, and lift objects of up to 10 lbs. Specific vision abilities required by this job include the use of computer monitor screens up to 80% of the time.</p><p>
</p><p>4vNyWV0sjV</p></div>

Customer Support Analyst

General Dynamics Information Technology

<div></div><div><div><div>Clearance Level
<div>Top Secret</div>
</div><div></div><div>Category
<div>Cyber and IT Risk Management</div>
</div><div></div><div>Location
<div>Washington, District of Columbia</div>
<i>(</i><i>Hybrid Workplace</i><i>)</i>
</div><div>
</div></div><div><div>Key Skills For Success
</div><div><p>Building Architecture</p>
</div><div><p>Design</p>
</div><div><p>VMware</p>
</div></div><div></div><div><div><div><div><div><div>
</div></div></div><div><h5 class="jobSectionHeader"><b>REQ#:</b><b> </b><b>RQ223555</b></h5>
<h5 class="jobSectionHeader"><b>Public Trust:</b><b> </b><b>None</b></h5>
<h5 class="jobSectionHeader"><b>Requisition Type:</b><b> </b><b>Regular</b></h5>
<h5 class="jobSectionHeader"><b>Your Impact</b></h5>
<p>Own your opportunity to serve as a critical component of our nation&rsquo;s safety and security. Make an impact by using your expertise to protect our country from threats.</p>
<h2 class="jobSectionHeader"><b>Job Description</b></h2>
<div><p>The Sr. Cyber Security Architect will provide subject matter expertise across cloud security, identity architecture, Zero Trust, network segmentation, application/container security, and enterprise monitoring capabilities. This role requires adaptability, critical thinking, and leadership advisory skills as the position aims to fundamentally re-shape the client&rsquo;s cybersecurity posture. The position requires the ability to operate with substantial independence, as the architect will spearhead multi-disciplinary technical efforts, act as an advisor to executives, and ensure the modernization and evolution of the client&rsquo;s technology environment.</p>
<p></p><p>The Security Architect is also responsible for defining and implementing secure enterprise architectures, engineering complex cybersecurity solutions, and integrating federal security mandates across the agency's technology stack.</p>
<ul><li>Lead enterprise cybersecurity architecture efforts by designing and governing integrated architectures across identity, devices, networks, applications, and data within a Zero Trust model.</li>
<li>Develop secure architectures for hybrid on-prem/cloud environments, Microsoft 365, identity services, and container ecosystems.</li>
<li>Establish enterprise patterns, baselines, and engineering standards.</li>
<li>Ensure alignment with NIST SP 800 53, RMF, and OMB/CISA directives.</li>
<li>Lead major cybersecurity modernization initiatives including defining scope, technical objectives, dependencies, schedules, and measurable outcomes.</li>
<li>Implement security infrastructure upgrades; Provide secure architecture solutions for Virtual Desktop and Server Infrastructures</li>
<li>Coordinate engineering, cloud, network, application, and development teams to oversee threat modeling, secure API design, encryption, secrets management.</li>
<li>Manage architectural risk; conduct impact analyses; and enforce technical quality gates.</li>
<li>Leading Zero Trust-aligned enterprise architectures across identity, cloud, applications, and data AND establishing standards and baselines to ensure compliance with NIST, RMF, and federal directives.</li>
<li>Performing functional testing and validation of security products.</li>
<li>Designing and implementing secure file sharing and cross domain solutions.</li>
<li>Directing or participating in major cybersecurity modernization efforts (i.e. coordinating cross-functional teams, managing architectural risk, overseeing pilots and vendor integrations, and driving enterprise application security).</li>
<li>Advancing the security of enterprise applications and platforms by embedding secure designing practices; integrating automated security testing and software-composition analysis; and applying threat analysis, API security, and data protection strategies.</li>
<li>Advising senior leadership on strategy and enterprise risk; leading or participating in architecture boards and interagency councils or industry working groups; and representing the organization to internal and external stakeholders.</li>
</ul><p></p><p>WHAT YOU&rsquo;LL NEED TO SUCCEED</p>
<p>Bring your cyber expertise and drive for innovation to GDIT. The Cybersecurity Analyst Sr Principal must have:</p>
<ul><li>Education: Bachelors degree in a technical discipline</li>
<li>Experience: 10+ years of related experience</li>
<li>Desired Technical skills: Experience with various Operating Systems (Linux/Windows/MacOS), various scripting languages (Python/Perl/Shell, etc); SEIM technologies (IBM Qradar, Splunk, or Elastic); on-prem and cloud implementations, IDS/IPS solutions; VMWare (ESXi, VMware vCenter, VMware VSAN, VMware View)</li>
<li>Security clearance level: TS with SCI Eligibility</li>
<li>US citizenship required</li>
<li>Role requirements: Onsite presence required, with telework availability (approval required); limited CONUS travel.</li><br>
</ul><div><br>
GDIT IS YOUR PLACE
<br>
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
<ul><li>Growth: AI-powered career tool that identifies career steps and learning opportunities
</li><li>Support: An internal mobility team focused on helping you achieve your career goals
</li><li>Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
</li><li>Community: Award-winning culture of innovation and a military-friendly workplace
</li></ul><br>
OWN YOUR OPPORTUNITY
<br>
Explore a career in cyber at GDIT and you&rsquo;ll find endless opportunities to grow alongside colleagues who share your focus on defending and protecting what matters.
</div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Work Requirements</b></h3>
</div></div><div></div><div><div>Years of Experience
<p>10 + years of related experience</p>
<ul><li>may vary based on technical training, certification(s), <b><i>or</i></b> degree</li></ul>
</div><div></div><div>Certification
</div><p></p><div>Travel Required
<p>Less than 10%</p>
</div><div></div><div>Citizenship
<p>U.S. Citizenship Required</p>
</div></div></div></div><div><h3 class="jobSectionHeader"><b>Salary and Benefit Information</b></h3>
<p>The likely salary range for this position is $178,500 - $241,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
</p>
<h3 class="jobSectionHeader"><b>Our Identity Verification Process</b></h3>
<p>As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.</p>
<h3 class="jobSectionHeader"><b>About Our Work</b></h3>
<div></div><p>We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.</p>
<p>Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.</p>
<p><i>Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans</i></p></div></div></div></div>

Sr. Cybersecurity Architect - Active Top Secret

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