MLOps Team Lead
כדי להגיש, לשמור או לפתוח את דף המשרה מתחברים עם Google. זה חינם, ואחרי ההתחברות חוזרים ישר למשרה הזו.
תקציר
Nanit is moving families beyond overwhelm by transforming how parents understand their baby's early years. We combine advanced AI, real-world data from billions of sleep hours, and clinical expertise to deliver the clarity and confidence every parent deserves.
דרישות
- Professional Experience: At least 5 years of hands-on Software Engineering experience, with a minimum of 2 years in a team lead or managerial role.
- Technical Proficiency:
- Production Systems and DevOps: Proven experience building high-scale, production-grade systems on a cloud platform (AWS preferred), with solid command of DevOps practices including CI/CD, containerization, and observability.
- Programming: Strong command of at least one programming language, with Python or Rust being a strong advantage.
- AI/ML Systems: Solid understanding of the ML model lifecycle, including training, evaluation, deployment, and monitoring, with enough hands-on exposure to make good infrastructure decisions around it. Experience with TensorFlow, PyTorch, or Computer Vision concepts is an advantage.
- AI-Augmented Development: Hands-on experience integrating AI coding tools into engineering workflows, with a genuine interest in expanding their use across the team.
- Data Engineering: Hands-on experience with data pipelines and big data infrastructure.
- Leadership and Mindset:
- Engineering Quality: You hold a high bar for correctness, reliability, and maintainability, and you treat quality as a first-class engineering concern, not something retrofitted at the end of a sprint.
- Team Builder: A people-first approach to leadership. You coach, you unblock, and you build psychological safety alongside technical excellence.
- Engineering Judgment: A strong ability to self-learn, cut through ambiguity, and land well-reasoned technical decisions under pressure.