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 Include But Are Not Limited To • 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 SageMake, 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