AI (ML) Engineer
Core
Design, develop, train, and implement AI/ML models and advanced optimization models to enhance customer products and support the full AI/ML project lifecycle.
Role type
Senior IC Machine Learning Engineer (Optimization & Generative AI)
Builds
AI/ML products, modeling and simulation capabilities, and optimization models for defense systems
Domain
Aerospace, Missile Defense, National Security
Deliverable
production ML models
Required skills
Deep learning, Natural Language Processing, Computer Vision, Reinforcement Learning, Large Language Models, Generative AI, Prompt Engineering, Heuristic optimization, Black-box optimization, Cross-validation, Drift monitoring, Model governance, Python, C/C++, NumPy, Pandas, SciPy, scikit-learn, TensorFlow, PyTorch, Git, Linux
Preferred skills
Operations Research, MLOps tools (Kubeflow, MLflow, DVC), Docker, Kubernetes, Cloud platforms (AWS, Azure, GCP), Linear programming, Gradient descent, Agile methods
Technologies
AWS, Azure, GCP, Docker, Kubernetes, Kubeflow, MLflow, DVC, PyTorch, TensorFlow, scikit-learn, NumPy, Pandas, SciPy, Git, GitLab, Linux
Responsibilities
Develop AI/ML products and contribute to AI/ML strategy; Design, develop, train, and implement AI/ML models and optimization algorithms; Test and validate models to ensure quality and accuracy; Monitor production performance and identify improvement opportunities; Coordinate with cross-functional teams including data specialists, software engineers, and security teams; Explain AI/ML concepts and results to technical and non-technical audiences; Participate in Agile development and backlog refinement.
Seniority
Senior, hands-on IC