Machine Learning Engineer - Mid
Core
Develop, integrate, and deploy machine learning models for national security missions, transforming prototypes into production-ready capabilities.
Role type
Mid-level Machine Learning Engineer (MLOps)
Builds
Production ML models and inference services for government analytical workloads
Domain
National Security / Defense
Deliverable
production ML models
Required skills
Python, PyTorch, scikit-learn, SQL, Linux, Git, Docker, CI/CD, Unit Testing, REST APIs
Preferred skills
MLflow, Triton Inference Server, Computer Vision, NLP, Apache Airflow, PostgreSQL, Model Monitoring
Technologies
Python, PyTorch, scikit-learn, MLflow, PostgreSQL, Docker, Linux, GitLab, Jupyter Notebooks
Responsibilities
Develop and train ML models; Convert research prototypes to production code; Integrate models into applications and APIs; Implement automated testing and CI/CD workflows; Monitor model performance and data drift; Collaborate with data engineers and software developers.
Seniority
Mid-level, hands-on IC