Subject Matter Expert; SME AI​/ML Engineer

MANTECH seeks a motivated, career and customer-oriented Subject Matter Expert (SME) AI/ML Engineer to join our team. On-site at the Pentagon.

Join a dynamic and diverse team at an industry-leading organization where our employees are our top priority. At Man Tech, you'll contribute to protecting national security while working on cutting-edge AI/ML projects. You'll have the opportunity to push the boundaries of AI/ML innovation in support of our government clients. Man Tech also provides excellent opportunities for career growth and advancement. We are currently seeking a motivated, career-oriented, and customer-focused Senior AI/ML Engineer to join our team full-time.

• Provides technical/management leadership on major tasks or technology assignments. Establishes goals and plans that meet project objectives.
• Directs and controls activities for a client, having overall responsibility for financial management, methods, and staffing to ensure that technical requirements are met.
• Interactions involve client negotiations and interfacing with senior management.
• Decision making and domain knowledge may have a critical impact on overall project implementation.
• Develop and implement infrastructure for training, validating, and deploying machine learning models
• Create reusable components and libraries to accelerate AI/ML development and use of Generative AI capabilities
• Build model serving platforms for efficient inference
• Design systems for model monitoring and performance tracking
• Develop tools for model explainability and interpretability
• Optimize AI/ML algorithms for performance and scalability

• Bachelor's degree in Computer Science, Statistics, Engineering or other related discipline
• 12+ years of experience
• 3+ years of software engineering experience with deep proficiency in Python
• Proven experience operationalizing Machine Learning models in production environments
• Hands-on experience with model evaluation, versioning, and CI/CD integration
• Strong API development skills
• Familiarity with MLOps frameworks such as AWS Sage Make, MLflow, Kubeflow, or Airflow.
• Expertise in scalable model serving platforms such as Tensor Flow Serving, Torch Serve, or ONNX runtime.
• Advanced knowledge of cloud platforms (e.g., AWS, Azure, or GCP) and Dev Ops practices including Terraform or Helm.

• Master’s degree in Computer Science, Statistics, Engineering or other related discipline
• 14+ years of experience