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Senior Agentic AI/ML Engineer - General Dynamics Information Technology
ML Engineer
Lead the design and deployment of agentic AI/ML solutions for defense operations, leveraging Python, TensorFlow, reinforcement learning, and AWS to build scalable, secure models that enhance mission-critical decision making.
About the role
Key Responsibilities
- Architect and implement agentic AI/ML systems that autonomously adapt to dynamic operational environments.
- Develop end‑to‑end pipelines using Python, TensorFlow/PyTorch, and reinforcement learning frameworks.
- Collaborate with cross‑functional teams to integrate models into secure cloud platforms (AWS/GCP).
- Ensure compliance with defense‑grade security and data‑handling standards.
- Mentor junior engineers and conduct code reviews to maintain high quality.
Requirements
- 5+ years of experience in AI/ML engineering with a focus on agentic or autonomous systems.
- Proficiency in Python, TensorFlow/PyTorch, and reinforcement learning libraries.
- Hands‑on experience deploying models on AWS (SageMaker, ECS, Lambda).
- Strong understanding of secure software development practices and defense‑grade data handling.
- Excellent communication skills and ability to work in a fast‑paced, mission‑critical environment.
Skills
pythonmachine learningreinforcement learningtensorflowaws