Engineering Manager (Search and Match)

Lead design, development, and deployment of AI/ML, NLP, and content recommendation algorithms including LLM-based models for content generation, recommendation, and moderation.

Provide technical leadership and manage a team of 3-5 data science engineers delivering data science products from ideation to production involving Python, ML frameworks, and scalable data systems.

Collaborate with product and engineering teams to build data products leveraging large-scale user data sets and create model validation frameworks for actionable insights.

10+ years of experience in ML/Data Science with a strong NLP background and leadership of a data science team.

Proficiency in Python programming and experience with ML systems, data pipelines, model training, and deployment tools (e.g., Jenkins).

Experience with LLM/RAG for search quality, embedding/vector search, and Solr/OpenSearch/Elasticsearch.

Work Experience Required: 10+ years in ML/Data Science and managing data science teams. Notice Period: Not explicitly mentioned in the JD.

Senior-level data science leader experienced in end-to-end development and production deployment of data science/ML/AI products with NLP and LLM expertise.

Experienced in managing small high-performing teams (3-5 members) and providing technical mentorship and strategic direction.

Effective at integrating complex AI/ML solutions into product features, working cross-functionally in fast-paced, data-driven environments.