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3.0 - 10.0 years
0 Lacs
all india, gurugram
On-site
Role Overview: As the founding ML lead at the company, you will be responsible for designing and deploying the core recommendation and personalization systems for a next-generation matchmaking platform. Your role will involve full ownership of the lifecycle, from ideation to production, of scalable, real-time ranking infrastructure that transforms sparse and dynamic user behavior into deeply personalized match suggestions. Key Responsibilities: - Build and scale matchmaking, recommendation, ranking, and personalization systems from scratch - Design a real-time adaptive matchmaking engine that evolves with user interactions and multi-modal signals - Develop algorithms for curated, personalize...
Posted 2 days ago
3.0 - 7.0 years
0 Lacs
delhi
On-site
As a Google Vertex AI Search Consultant for E-commerce, your role involves implementing and optimizing AI-powered search solutions to enhance product search experiences on the website. Key Responsibilities: - Implement and configure Google Vertex AI Search for the e-commerce website. - Build and optimize product search experiences through relevance tuning, ranking, filtering, and autocomplete features. - Integrate Vertex AI Search with the existing product catalog, CMS, and backend systems. - Set up real-time or scheduled data ingestion from product databases/feeds. - Enable personalized search results based on user behavior signals. - Collaborate with engineering, product, and UX teams to d...
Posted 1 month ago
3.0 - 10.0 years
0 Lacs
haryana
On-site
In this role as the founding ML lead at the company, you will be responsible for designing and deploying the core recommendation and personalization systems for a next-generation matchmaking platform. Your role will involve full ownership of the lifecycle, from ideation to production, of scalable, real-time ranking infrastructure that transforms sparse and dynamic user behavior into deeply personalized match suggestions. Key Responsibilities: - Build and scale matchmaking, recommendation, ranking, and personalization systems from scratch - Design a real-time adaptive matchmaking engine that evolves with user interactions and multi-modal signals - Develop algorithms for curated, personalized ...
Posted 2 months ago
3.0 - 7.0 years
0 - 0 Lacs
haryana
On-site
As an ML Engineer at an early-stage, US-based venture-backed technology company in Gurgaon, you will be responsible for designing and deploying the core recommendation and personalization systems that power the matchmaking experience. Your role will involve engineering the full lifecycle - from design, R&D, to deployment - while laying the foundation for scalable, real-time ranking infrastructure. You will be developing match-making, recommendation, ranking, and personalization systems. Specifically, you will work on creating a novel real-time adaptive matchmaking engine that learns from user interactions and other signals. Your tasks will also include designing ranking and recommendation al...
Posted 4 months ago
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