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Tier-1 employer, hybrid metro role, mid-level ML/Generative AI, and broad skill demand.
Requires specialized ML/AI and recommender system expertise, limiting cross-industry transferability.
Explicit 5+ years, specialized ML/LLM/recommendation experience, and production engineering requirements.
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Own end-to-end development and deployment of embeddings, retrieval, ranking, and classification models at large scale.
Build and deploy relevance and recommender system models incorporating Generative AI and NLP techniques.
Collaborate cross-functionally to bring ML products from concept to production; mentor junior ML engineers in advanced ML applications.
Master’s degree OR Bachelor’s degree with 5+ years of relevant work experience.
5+ years experience in recommendation systems, machine learning, statistical modeling, data mining, or related fields.
Experience with large language models, generative AI, or distributed training is explicitly required.
Work Experience Required: 5+ years in relevant ML or recommendation systems roles.
Experienced in applying advanced ML techniques to production-scale recommender systems and ranking models with strong performance focus.
Comfortable working on cutting-edge Generative AI, NLP, and large-scale model training.
Capable of mentoring junior engineers and engaging with academic/industry communities to represent technical innovation.