AL/ML Engineer with Security Clearance

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