Job Title :
Senior Data Scientist

Experience:
5 to 12 Years

Work Mode:
Hybrid

Location :
Pune

Notice Period:
Immediate joiners preferred ( 0 to 30 days)

We are looking for a highly skilled Senior Data Scientist with strong expertise in Machine Learning, Machine Learning Services, Recommender Systems, and Generative AI (LLM/LVM).

The ideal candidate will have hands-on experience building end-to-end ML solutions, from data exploration and model development to deployment, monitoring, and production support. You will work closely with Data Engineering, Data Science, and ML Engineering teams to design, develop, deploy, and scale intelligent data products and enterprise AI solutions.

Key Responsibilities

Data Science & Advanced Analytics
- Develop and deploy end-to-end Machine Learning models from ideation to production.
- Perform EDA, feature engineering, model training, and evaluation.
- Build predictive and prescriptive models using statistical and machine learning techniques.
- Optimize models for accuracy, performance, scalability, and reliability.





Machine Learning Services – Primary Focus
- Design and implement scalable ML pipelines for training, testing, deployment, and monitoring.
- Work with cloud ML platforms such as Azure ML, AWS SageMaker, and GCP Vertex AI.
- Implement model lifecycle management, including versioning, monitoring, retraining, and governance.
- Support production ML deployments and continuous model improvement.

Recommender Systems
- Design and develop recommendation engines using:
- Cooperative filtering
- Content-based recommendations
- Hybrid recommendation systems
- Develop ranking and personalization algorithms.
- Work with large-scale datasets for user segmentation and personalization.
- Evaluate recommendation models using Precision@K, Recall@K, and NDCG.

Generative AI – LLM & LVM
- Build and deploy LLM-powered applications, including chatbots, copilots, and document intelligence solutions.
- Design and implement RAG (Retriev

📌 Senior Data Scientist (Pune)
🏢 RapidBrains
📍 Pune