Junior AI/ML Engineer

• Support the design and development of AI/ML solutions, including preparing training data, running experiments, and helping deploy models into production workflows.
• Contribute to eventdriven and microservicebased systems by building and testing small components that integrate with platforms such as Apache Kafka.
• Assist in building and maintaining cloudnative applications on AWS, Azure, or GCP using containerization and Kubernetes.
• Participate in DevSecOps processes by helping configure CI/CD pipelines, set up automated tests, and support infrastructure automation.
• Work within open/reference architectures and follow interface standards to ensure interoperability across mission systems.
• Collaborate on Agile teams (Scrum/Kanban); attend standups, planning sessions, design reviews, and technical discussions with Government and industry partners.
• Draft technical notes, contribute to documentation, and support briefings to senior engineers and stakeholders.

• 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.

• Develop and maintain data pipelines (batch or streaming) that support model training, feature extraction, and system telemetry.
• Assist in managing Kubernetesbased environments (deployments, health checks, basic scaling strategies).
• Help configure and monitor Kafka topics, schemas, and consumer groups under guidance from senior engineers.
• Support automated workflows (Airflow, Prefect, etc.) for model training, evaluation, and deployment.
• Contribute to CI/CD pipelines through build/test setup, security scanning, and artifact management tasks.
• Help prepare documentation to demonstrate compliance with Government Reference Architectures and technical interface standards.
• Participate in team learning, code reviews, and continuous improvement activities; proactively seek mentorship and share knowledge as you grow.

• 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