Lead Machine Learning Engineer
Core
Set technical direction for complex AI/ML projects, ensuring models perform at scale in production while leading delivery of large-scale AI-powered platforms in high-risk environments.
Role type
Lead Machine Learning Engineer (Technical Lead)
Builds
Large-scale AI-powered platforms, shared libraries, and infrastructure for model deployment and lifecycle management. (via careerplan.io/jobs/3c808ef2-1d15-4352-bf87-93fef11027d1-lead-machine-learning-engineer-at-faculty)
Domain
Public Services / Government / High-risk environments
Deliverable
production ML models
Required skills
Technical roadmap definition, cloud-native ecosystems, Kubernetes orchestration, TensorFlow/PyTorch, agentic systems architecture, CI/CD pipeline design, team leadership, testing framework design
Preferred skills
Proven ability to justify architectural decisions in high-stakes environments, experience with multi-disciplinary team alignment
Technologies
Kubernetes, TensorFlow, PyTorch
Responsibilities
Designing and maintaining scalable ML systems, driving development of shared deployment infrastructure, leading model integration via APIs, overseeing complex workstreams, defining testing and versioning systems, managing and coaching engineering teams, recommending new AI frameworks
Seniority
Senior, hands-on IC with leadership responsibilities
