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Tier-1 brand, metro location, mid-level ML role with broad production and research requirements.
Specialized recommender and GenAI focus increases domain relevance, but core ML skills remain transferable across industries.
Explicit 6+ years, advanced degree, and required ML plus production and distributed systems skills.
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Design, develop, evaluate, deploy, and update data-driven recommendation models for personalized shopping experiences.
Conduct A/B tests and statistical analyses to validate model improvements and customer impact.
Mentor junior engineers/scientists and collaborate closely with business, engineering, and partner teams.
6+ years of experience building machine learning models for business applications.
PhD or Master's degree in a relevant field.
Proficiency in programming languages such as Java, C++, or Python.
Experience with neural deep learning methods and machine learning techniques.
Experienced in scalable machine learning in production environments, including distributed systems.
Skilled in scientific research and publication with a focus on recommendation systems and GenAI techniques.
Ability to operate cross-functionally with technical and business teams to drive impactful personalization solutions.