Data Science Lead
INR 2542K-4000K (estimate) Senior-level Full Time
Tasks
- Apply graph analytics and knowledge graph modeling
- Build mlops training pipelines
- Collaborate with data engineering platform engineering and product teams
- Define enterprise AI and data science strategy
- Deploy production machine learning systems
- Develop streaming analytics and event driven prediction
- Ensure model explainability and bias mitigation
- Implement continuous retraining
- Implement data lineage and governance compliance
- Lead machine learning model development
- Manage feature stores and model registry
- Monitor model performance and drift
- Track experiments and run A B testing
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS SageMaker | Azure ML | B testing | Bias detection | Classification | Clustering | Containerization | Continuous Retraining | Data Lakes | Data Warehouses | Databricks | Deep learning | Drift Detection | Event Driven | Event-driven architecture | Experiment tracking | Feature Engineering | Feature Store | Google Vertex | Google Vertex AI | Graph analytics | Knowledge graphs | Kubernetes | MLOps | MLflow | Machine Learning | Model Drift | Model Drift Detection | Model Monitoring | Model Registry | PySpark | Python | SQL | Series forecasting | Snowflake | Spark | Streaming Analytics | Supervised Learning | Time Series | Time Series Forecasting | Vertex AI
Education
Roles
Data Science | Data Science Lead | Engineer | Lead | Learning Engineer | Machine Learning Engineer | Science Lead
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