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aws kubernetes distributed systems mlops llmsπ Description
- Lead, mentor, and grow a 6-10 person engineering team
- Drive technical execution across parallel AI initiatives, ensuring timely delivery
- Partner with product managers to define roadmaps and priorities
- Establish AI/ML engineering best practices and safety guardrails
- Lead hiring to scale the team and support career development
- Communicate progress and strategic recommendations to senior leadership
π― Requirements
- 3+ years engineering management experience leading teams of 5+ engineers
- 8+ years software engineering in AI/ML, distributed systems, or platform engineering
- Experience building and scaling high-performing engineering teams
- Experience managing AI/ML systems, large language models, or ML infrastructure
- Strong architectural, code review, and technical decision-making skills
- Experience managing globally distributed teams across multiple time zones
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