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