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Senior Machine Learning Engineer

Recrew AI
Gurugram
Experience0-3 years
Salary $10
LocationGurugram
Job TypeFull time
Skills: Machine Learning
Job Description
Job Title: Senior Machine Learning Engineer Company: Recrew AI Job Category: Machine Learning Roles & Responsibilities: Role: Senior ML Engineer – Recommendations & Personalisation Role & Responsibilities * Design, build, and own end-to-end matchmaking, recommendation, ranking, and personalisation systems * Develop a real-time adaptive matchmaking engine that learns continuously from user interactions and behavioural signals * Build user embedding systems, similarity models, and graph-based match scoring frameworks * Architect and implement cold-start solutions to deliver quality recommendations for new users with sparse data * Deploy models to production with fast iteration loops, model registries, and observability tooling * Define and track offline and online evaluation frameworks, A/B tests, and metric alignment across the recommendation stack * Partner with Data, Product, and Backend teams to translate business goals into scalable ML solutions Work Location: Gurugram, Haryana, India Availability: Full time
Requirements
At its core is a real-time ML recommendation engine delivering deeply personalised experiences — even in sparse data scenarios. Backed by marquee VCs in India and the US, the company has raised $10M+ at seed stage. The team of 23 operates with the urgency and autonomy of a founding-stage environment. Founders bring extensive experience launching and scaling dating apps and global consumer internet businesses. Must Have Criteria * 0-3 years of experience building personalisation, recommendation, ranking, or search systems at scale * Prior experience at a B2C product company or startup — social, e-commerce, fashion, gaming, dating, or video platforms * Working knowledge of collaborative filtering, two-tower deep retrieval models, learning-to-rank, and embedding-based ANN search * End-to-end ML pipeline ownership — both training models and deploying them to production * Familiarity with offline and online evaluation methodologies, A/B testing, and metric alignment Key Skills: Machine Learning Salary: $10
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