AI/ML Engineer

• Lead the design and implementation of advanced AI/ML features, pipelines, and modeldriven capabilities, including architecting data flows, directing experimentation, and overseeing deployment of models into secure production environments.
• Architect and optimize eventdriven and microservicebased systems, developing highperformance components that leverage platforms like Apache Kafka for missioncritical realtime processing.
• Drive the development of cloudnative solutions across AWS, Azure, or GCP, guiding containerization strategies, Kubernetes deployment patterns, and infrastructureascode implementations.
• Champion DevSecOps best practices by defining CI/CD architectures, implementing automated test frameworks, and maturing infrastructure automation across multiple enclaves.
• Ensure solutions align with open/reference architectures and interface standards; make architectural recommendations that influence longterm technical direction across mission systems.
• Provide seniorlevel leadership within Agile teams-leading design reviews, shaping architectural decisions, evaluating technical trade space, and coordinating efforts across multiple stakeholder groups.
• Produce highquality technical documentation and deliver clear, concise briefings to senior stakeholders, mission owners, and engineering leadership.

• Are eager to grow your AI/ML engineering skills and enjoy turning algorithms or prototypes into reliable, maintainable code.
• Are curious about eventdriven architectures, resilient systems, and realtime data streaming.
• Thrive in collaborative, fastpaced Agile environments and enjoy learning from peers and senior engineers.
• Are comfortable working across the stack-from data pipelines to model deployment to cloud infrastructure.

• Architect, build, and optimize robust batch and streaming data pipelines supporting feature engineering, training workflows, crossdomain data movement, and operational telemetry.
• Lead Kubernetesbased deployments, defining configuration standards, scaling strategies, observability patterns, and resilience mechanisms across multicluster and multienclave environments.
• Design and tune Kafka ecosystems-topics, schemas, consumer groups-and develop scalable streamprocessing solutions to support missioncritical analytics.
• Lead development of automated ML workflows (Airflow, Prefect, etc.) for training, evaluation, versioning, deployment, rollback, and lifecycle governance.
• Define and mature CI/CD automation frameworks ensuring hardened builds, intelligent test automation, security scanning, artifact governance, and reliable multienvironment release processes.
• Develop and maintain architectural and compliance documentation aligned with Government Reference Architectures and mission integration standards.
• Provide technical oversight, mentor junior and midlevel engineers, guide code and design reviews, and contribute to continuous improvement of engineering practices, toolchains, and architectural patterns.

• Bachelor's degree in Computer Science, Computer Engineering, Systems Engineering, or related field.
• Professional software experience
• Experience building cloudnative solutions on AWS/Azure/GCP; understanding of IaaS/PaaS, networking, security, and cost management.
• Handson Kubernetes experience: container orchestration, Helm, ingress, service mesh, scaling, and troubleshooting.
• Practical AI/ML delivery experience: model lifecycle (data prep, training, validation, deployment, monitoring) and MLOps practices.
• Proven Agile experience (Scrum/Kanban) and toolchains (e.g., Jira/Confluence) for planning, tracking, and documentation.
• Strong software engineering fundamentals (design patterns, testing, code reviews) and proficiency with at least one of: Python, Java, C++.

• Kubernetes certification (CKA, CKAD, or CKS).
• Experience with stream processing frameworks (Kafka Streams, Flink, Spark Streaming).
• MLOps platforms (SageMaker, Vertex AI, MLflow) and feature stores.
• Infrastructure as Code (Terraform), container security, and SBOM/zerotrust practices.

• United States citizenship is required with the ability to obtain a secret security clearance

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  Interesting Work:
  
  
  
  Our co-workers support some of the most important and critical programs to our national defense and security.
  
  
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  Values:
  
  
  
  Our first core value is that employees come first. We challenge our co-workers to provide the highest level of support and service, and reward them with some of the best benefits in the industry.
  
  
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  100% Employee Owned:
  
  
  
  We have a stake in each other's success, and the success of our customers. It's also nice to know what's going on across the company; we have company wide town-hall meetings three times a year.
  
  
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  Great Benefits - Most Full-Time Staff Are Eligible for:
  
  
  




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  Starting PTO accrual of 20 days PTO/year + 10 holidays/year
  
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  Flexible schedules
  
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  6% 401k match with immediate vesting up to $9k annually
  
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  Semi-annual bonus eligibility (July and December)
  
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  Company funded Employee Stock Ownership Plan (ESOP) - a separate qualified retirement account
  
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  Up to $10,000 in annual educational reimbursement
  
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  Other company funded benefits, like life and disability insurance
  
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  Optional zero deductible Blue Cross/Blue Shield health insurance plan
  




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  Track Record of Success:
  
  
  
  We have grown every year since our founding in 1993.
  
  

Modern Technology Solutions, Inc. (MTSI) is a 100% employee-owned engineering services and solutions company that provides high-demand technical expertise in Digital Transformation, Modeling and Simulation, Rapid Capability Development, Test and Evaluation, Artificial Intelligence, Autonomy, Cybersecurity and Mission Assurance

MTSI delivers capabilities to solve problems of global importance. Founded in 1993, MTSI today has employees at over 20 offices and field sites worldwide.

For more information about MTSI, please visit www.mtsi-va.com