Data Science Lead
INR 2500K-4000K (estimate) Senior-level Full Time
Tasks
- Apply graph analytics and knowledge graph modeling
- Build MLops pipelines
- Build real time streaming analytics
- Conduct experiment tracking and A B testing
- Define AI and data science strategy
- Deploy scalable machine learning to production
- Develop predictive and forecasting models
- Ensure model explainability and bias mitigation
- Implement model monitoring and drift detection
- Lead model development
- Maintain model registry
- Manage feature stores
- Operationalize machine learning systems
- Perform anomaly detection and classification
- Track data lineage and governance compliance
Perks/Benefits
- Employee discounts
- Flexible remote work up to two days per week
- Flexible work arrangements
- Health and wellness coverage
- Insurance coverage
- Paid time off
- Retirement or savings programs
Skills/Tech-stack
A/B | A/B Testing | AWS | Apache Spark | Azure | Azure Machine Learning | B testing | Bias detection | Clustering | Continuous Retraining | Data Governance | Data Lineage | Databricks | Deep learning | Drift Detection | Event Driven | Event-driven architecture | Experiment tracking | Feature Engineering | Feature Store | GCP | Graph analytics | Knowledge graphs | Kubeflow | Kubernetes | LightGBM | MLOps | MLflow | Machine Learning | Model Drift | Model Drift Detection | Model Monitoring | Model Registry | PySpark | PyTorch | Python | SQL | Series forecasting | Snowflake | Streaming Analytics | Supervised Learning | TensorFlow | Time Series | Time Series Forecasting | XGBoost
Education
Roles
Data Science | Data Science Lead | Engineer | Lead | Learning Engineer | Machine Learning Engineer | Science Lead
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