Job Description

Job Description

As a Lead Engineer for the ML Engineering development team, you will act as the critical link between Data Science research and product-ready implementation. Your primary focus is to design, and implement optimal solutions for a wide array of ML use cases. You will partner with Data Scientists to bring sophisticated algorithms to life, building and deploying robust APIs and pipelines that serve millions of requests with high efficiency and reliability.

Key Responsibilities

  • ML Algorithm Implementation:  Collaborate closely with Data Scientists to translate theoretical models and algorithms into high-performance, production-grade code.

  • End-to-End Pipeline Architecture:  Build and manage comprehensive ML pipelines, including data pre-processing, model generation, automated deployment, cross-validation, and active feedback loops.

  • High-Performance S...

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