Applied ML Engineer
Haryana, Gurugram, India
INR 1000K-2000K (estimate) Mid-level Full Time
Tasks
- Bridge offline models to online serving
- Build recommender system
- Calibrate ranking weights to business outcomes
- Create offline evaluation framework
- Develop product embeddings
- Evolve cohort assignment to ML driven
- Implement embedding-based retrieval
- Improve recommendation quality with online impact
- Own collaborative filtering model
- Translate sparse noisy event data into features
Perks/Benefits
- Cross-functional collaboration
- Full-time employment
- Onsite work schedule WFO
- Weekly model refresh pipeline ownership
Skills/Tech-stack
Approximate Nearest Neighbor | CTR | Cold Start | Collaborative Filtering | Conversion Rate | Conversion rate optimization | Coverage metrics | Diversity Metrics | Embedding-based retrieval | Faiss | GMV | JAX | Model Serving | NDCG | Nearest neighbor | NumPy | Precision at K | PyTorch | Python | Rate optimization | Redis | Scikit-learn | Sparse matrices
Education
N/A
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