Senior Data Scientist I
Bangalore, Karnataka, India
INR 3000K-4000K (estimate) Senior-level Full Time
Tasks
- Automate experiment tracking model versioning and deployment
- Build ML ready features from insurance data
- Build and operationalize LLM powered applications
- Construct scalable data pipelines
- Design NLP pipelines for unstructured data
- Develop machine learning solutions for insurance use cases
- Evaluate agentic AI frameworks
- Fine tune and prompt engineer foundation models
- Implement CI/CD pipelines for ML workflows
- Implement alerting and retraining workflows
- Maintain feature stores and data catalogs
- Monitor models for drift and performance
- Perform data preparation feature engineering and transformation
- Write unit and integration tests
Perks/Benefits
- Car lease
- Certification programs
- Continuous learning programs
- Corporate pension scheme
- Dental and vision coverage
- Education reimbursement programs
- Employee assistance program
- Employee stock purchase plan
- Flexible work options
- Health coverage
- Hybrid work environment
- Long-term incentive plan
- Paid time off
Skills/Tech-stack
AI vector search | Apache Spark | Autogen | Automl | Azure DevOps | CI/CD | Chroma | Databricks | Databricks SQL | Deep learning | Delta Lake | Faiss | Feature Engineering | Git | Jupyter | LLM | Langchain | Language Processing | Llamaindex | MLflow | Machine Learning | Model Evaluation | Model Validation | Natural Language | Natural Language Processing | NumPy | Pandas | Pinecone | Prompt engineering | PyTorch | Python | RAG | SQL | Scikit-learn | Supervised Learning | TensorFlow | Unsupervised Learning | VS Code | Vector Databases | Vector Search | Vertex AI | Vertex AI Vector Search
Education
N/A
Roles
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