Lead Data scientist
Bangalore–Embassy Business Hub, India
INR 3000K-5400K (estimate) Senior-level Full Time
Tasks
- Architect machine learning systems
- Automate dataset and version management
- Automate feature generation
- Build CI CD for machine learning systems
- Build Python data transformations
- Build SQL based analytics components
- Build enterprise LLM applications
- Build machine learning models
- Build model registry and release governance
- Build standardized ML pipelines
- Deploy and operate batch inference
- Deploy and operate real time inference
- Design experimentation workflows
- Develop function calling and agent workflows
- Ensure data quality, validation, and reconciliation
- Ensure reproducibility and maintainability
- Implement observability and monitoring
- Implement retrieval-augmented generation
- Implement scheduled retraining triggers
- Own analytics products and dashboards
- Perform LLM evaluation and regression testing
- Train and optimize machine learning models
- Translate analytics into decision recommendations
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic Workflows | Anomaly Detection | Azure | Batch inference | CI/CD | Data Governance | Data Quality | Deep learning | Docker | Embeddings | Feature Engineering | Fine Tuning | Function Calling | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Drift | Model Evaluation | Model Monitoring | Natural Language | Natural Language Processing | Observability | Prompt engineering | Python | Real Time | Real-time Inference | Recommendation Systems | Reranking | Retrieval-Augmented Generation | SQL | Series forecasting | Time Series | Time Series Forecasting | Vector Databases
Education
N/A
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
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