Role: Applied ML Engineer
Location: Gurgaon (on-site) 5 days WFO
Employment type: Full time

Company Overview:

Our client is revolutionising the gaming landscape as India’s first G-Commerce startup, bridging the gap between virtual achievements and real-world value. We empower gamers by transforming their in-game currencies and XP into tangible rewards, from exclusive brand discounts to physical goods, lowering cart values and making gaming more rewarding than ever.

Through strategic partnerships with game developers and top-tier brands, we create seamless white-labeled reward ecosystems, integrated directly into games and gaming platforms. Our mission? To redefine engagement by turning every play session into an opportunity for players to earn, redeem, and experience more.

Role Overview:
We are looking for an Applied ML Engineer with strong experience in recommender systems to build the brain of PlaySuper's in-game commerce store — a recommendation engine that decides which products, coupons, and rewards to surface to which player, at which moment.





This role is ideal for someone who has worked on:
- Collaborative filtering and embedding-based retrieval in production
- Recommendation systems for marketplaces, deals, or content feeds
- Cold-start and sparse-data problems
- Bridging offline model development to online serving

Rigorous evaluation and a bias for shipping are non-negotiable.

What You Will Do:
- Own the collaborative filtering model (starting with Gorse, potentially moving to a custom stack)
- Build product embeddings (product2vec + Faiss / ANN) for the PlaySuper catalogue
- Evolve cohort assignment from rules-based to ML-driven
- Build the offline evaluation framework — precision@k, NDCG, conversion-rate, diversity, coverage
- Bridge offline models to online serving (model serving infrastructure, weekly refresh pipeline)
- Calibrate ranking weights against business outcomes (CTR, GMV, margin, repeat redemption)
- Partner closely with the Data Engin

📌 Applied ML Engineer (Gurugram)
🏢 Remotestar
📍 Gurugram