AI/ML Engineer

• Design and implement AI/ML features and pipelines, including data preparation, experimentation, model training, and deploying models into production environments.
• Build and enhance eventdriven and microservicebased components that integrate with platforms such as Apache Kafka for realtime data processing.
• Develop and maintain cloudnative applications on AWS, Azure, or GCP using containerization, Kubernetes, and infrastructureascode patterns.
• Contribute to DevSecOps practices by building CI/CD pipelines, implementing automated tests, and supporting infrastructure automation.
• Apply open/reference architectures and interface standards to ensure interoperability and technical alignment across mission systems.
• Collaborate within Agile teams (Scrum/Kanban), contributing to planning, design reviews, technical assessments, and crossteam coordination.
• Produce clear technical documentation and contribute to briefings for stakeholders and senior engineering staff.

• 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.

• Design, build, and maintain data pipelines (batch and streaming) that support feature engineering, model training, and operational telemetry.
• Deploy and manage workloads on Kubernetes, including configuration, scaling strategies, observability, and troubleshooting.
• Configure and optimize Kafka topics, schemas, and consumer groups; contribute to streamprocessing solutions and performance tuning.
• Build and manage automated ML workflows (Airflow, Prefect, etc.) for model training, evaluation, versioning, deployment, and rollback.
• Develop and maintain CI/CD pipelines, ensuring automated builds, tests, security scanning, and artifact management.
• Contribute to compliance documentation for Government Reference Architectures and integration standards.
• Participate in code reviews, architecture discussions, and continuous improvement activities; contribute solutions and mentor junior engineers as appropriate.

• 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