- Python
- Machine Learning
- Recommendation Systems
- Personalization
- Ranking algorithms
- Collaborative filtering
- Content-based recommendation
- Hybrid recommendation systems
- Feature engineering
- Model training and evaluation
- Real-time and batch inference
- ML pipelines and MLOps
- REST APIs / microservice-based model serving
- SQL and data processing
- Spark/Databricks
- Cloud platforms, AWS For the ML role, experience in building dynamic storefronts, personalization and recommendation engines, particularly in th
Any bench profile for the above JDs
📌 Ml Engineer (Bengaluru)
🏢 INTEGRATED PERSONNEL SERVICES
📍 Bengaluru
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