AL/ML Engineer

MANTECH seeks a motivated, career and customer-oriented 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 ManTech, 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. ManTech also provides excellent opportunities for career growth and advancement. We are currently seeking a motivated, career-oriented, and customer-focused AI/ML Engineer to join our team full-time. Responsibilities Create utilities and ensure seamless function of orchestration capabilities to support the AI/ML environment 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 Implement automated machine learning pipelines and MLOps practices for continuous integration and deployment (CI/CD) of models Optimize AI/ML algorithms for performance and scalability Troubleshoot complex issues in AI/ML systems Implement version control for models and datasets, and develop robust testing frameworks for AI/ML components Minimum Qualifications Bachelor's degree in Computer Science, Statistics, Engineering or other related discipline 4+ 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 SageMaker, MLflow, Kubeflow, or Airflow Expertise in scalable model serving platforms such as TensorFlow Serving, TorchServe, or ONNX runtime Preferred Qualifications 6+ years of experience Hands‑on experience with Kubernetes and deploying containerized ML services Experience utilizing Databricks or similar cloud-native ML tooling Experience working with feature stores and distributed data frameworks (e.g., Spark) Proficiency in model interpretation tools like SHAP or LIME Foundational understanding of linear algebra, calculus, and numerical computation to support algorithm optimization Clearance Requirements US Citizenship with active DoD Secret Clearance Physical Requirements Must be able to remain in a stationary position 50% Frequently communicates with co‑workers, management, and customers, which may involve delivering presentations Must be able to exchange accurate information in these situations #J-18808-Ljbffr MANTECH