Machine Learning Engineer
Core
Design, build, and deploy production-grade machine learning models and MLOps frameworks for mission-critical applications in defense, national security, and federal civilian sectors.
Role type
Senior Machine Learning Engineer (MLOps)
Builds
Production ML models, MLOps pipelines, and scalable AI systems for US federal government clients
Domain
US Federal Government (Defense, National Security, Public Safety)
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, Scikit-learn, XGBoost, Hugging Face, MLOps, CI/CD, Docker, Kubernetes, Amazon SageMaker, Google Vertex AI, Azure Machine Learning
Preferred skills
Advanced degree in STEM (Ph.D. preferred)
Technologies
Docker, Kubernetes, Amazon SageMaker, Google Vertex AI, Azure Machine Learning
Responsibilities
Develop MLOps frameworks and workflows; Build, train, deploy, and maintain ML models in production; Design and maintain end-to-end ML pipelines; Implement MLOps best practices including model versioning and automated retraining; Collaborate to integrate ML solutions into mission-critical applications; Monitor production systems and address model drift.
Seniority
Senior, hands-on IC