Actively Hiring
RE
Senior ML Engineer
Recrew AI
Gurugram
Skills:
Machine Learning
Job Description
Job Title: Senior ML 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
* 2–5 years of hands\-on 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