About the role
Requirements:
- Strong expertise in Machine Learning fundamentals and advanced AI concepts.
- Proven experience in leading ML/AI engineering teams and mentoring engineers on production systems, not just coordinating analysts or managing delivery timelines.
- Ability to define AI/ML strategy and drive execution across projects.
- Deep understanding of data engineering concepts like ETL design, Medallion architecture, etc.
- Strong experience in solution architecture and enterprise-scale system design.
- Must be able to design a real-time serving system with latency, throughput, and cost tradeoffs managed properly.
- Must demonstrate production ownership: has built, deployed, monitored, and debugged ML systems serving real traffic, and can describe production incidents and their resolution.
- Deep understanding of recommendation and ranking systems architecture: candidate generation, scoring, feature infrastructure, and evaluation.
- Strong understanding of AI observability, governance, and Responsible AI practices.
- Experience designing reusable AI/ML frameworks and accelerators.
- Strong stakeholder management and business communication skills.
- Must communicate technical ideas clearly and concisely.
- Lead candidates will be evaluated on their ability to explain system design and trade-offs under time pressure.
- Experience in roadmap planning, delivery management, and technical leadership.