Senior Machine Learning Engineer
Core
Lead development and deployment of cutting-edge, production-grade AI systems for government, finance, and defense clients, ensuring they are secure, trustworthy, and safe.
Role type
Senior Machine Learning Engineer (Infrastructure & Deployment)
Builds
Scalable ML software, tools, and infrastructure for national security and AI safety missions
Domain
National Security, AI Safety, Government, Defense
Deliverable
production ML models | infrastructure
Required skills
Full ML lifecycle expertise, TensorFlow/PyTorch, Python, Cloud architecture (AWS/Azure/GCP), Docker, Kubernetes, System design, Technical leadership
Preferred skills
Client-facing advisory, Mentoring junior engineers, Cross-functional collaboration
Technologies
TensorFlow, PyTorch, Python, AWS, Azure, GCP, Docker, Kubernetes
Responsibilities
Lead technical scoping and architectural decisions for high-impact ML systems; Design and build production-grade ML software and scalable infrastructure; Define and implement best practices for deploying ML at scale; Collaborate with engineers, data scientists, and commercial teams to solve client challenges; Act as a trusted technical advisor to customers; Mentor and develop junior engineers
Seniority
Senior, hands-on IC with leadership responsibilities