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machine learning llms model development ml infrastructure ai infrastructureπ Description
- Lead and scale a high-performing team of engineers, managers, and ML specialists.
- Guide model development and evaluation; ensure AI apps are performant and secure.
- Partner with product, design, infra, and executives to meet business needs.
- Establish engineering processes for reliable delivery and scalable systems.
π― Requirements
- Proven engineering leadership with track record in performance and growing managers.
- Hands-on Applied ML, productionizing LLMs and advanced models.
- Deep understanding of ML infrastructure and secure AI deployment at scale.
- Execution-focused mindset translating goals into technical milestones and strategy.
π Benefits
- Bonus opportunities, equity, and benefits.
- Total Rewards vary by region and entity.
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