Role:

As an ML Team Lead, you will be responsible for leading the technical direction of AI/ML initiatives while remaining deeply hands-on in building scalable production-grade ML and LLM systems. This is a highly technical leadership role where approximately 70% of the time will be spent designing systems, writing production code, conducting design and code reviews, debugging production issues, and shipping ML/AI solutions, while 30% will focus on technical leadership, mentoring engineers, and collaborating with product and engineering leadership on roadmap planning.

You will play a critical role in architecting and scaling AI/ML systems including classical machine learning models, Retrieval-Augmented Generation (RAG) pipelines, multi-step agentic systems, and LLM-powered applications. You will also establish engineering standards around scalability, security, resilience, observability, cost optimization, and production readiness for all AI systems built by the...