MLOps Team Lead
Core
Own AI infrastructure and backend engineering efforts, leading a team to build systems that turn Deep Learning and Computer Vision research into reliable, scalable production features for a baby monitoring product.
Role type
Senior IC/Lead MLOps Engineer (AI Infrastructure)
Builds
Production-grade AI systems, agentic workflows, and scalable data platforms for Nanit's baby monitoring features.
Domain
Consumer IoT / Computer Vision / AI Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Cloud platform architecture (AWS), CI/CD, containerization, observability, Python or Rust, ML model lifecycle management, data pipeline design, team leadership, system design.
Preferred skills
TensorFlow, PyTorch, Computer Vision concepts, AI coding tools integration.
Technologies
AWS, Python, Rust, TensorFlow, PyTorch
Responsibilities
Lead MLOps engineering roadmap and execution; Design and implement production-grade AI solutions; Architect scalable data platforms; Collaborate with Algorithms and Data teams; Elevate engineering standards and best practices.
Seniority
Senior, hands-on IC with team lead responsibilities