Staff Machine Learning Engineer (Data & Audience Platform Team), Hyderabad
Hyderabad - Phoenix Equinox Tower 2, India
INR 2520K-3500K (estimate) Senior-level Full Time
Tasks
- Architect Databricks Genie and governance for self service ML
- Architect batch and real time personalization pipelines
- Architect probabilistic identity resolution system
- Define ML architecture for identity audience and forecasting
- Define feature store and model registry governance
- Develop audience intelligence models and optimization systems
- Establish engineering standards for data contracts and reproducibility
- Implement drift detection and A B experimentation infrastructure
- Lead MLOps framework and model lifecycle standards
- Lead adoption of agentic AI workflows and orchestration
- Own Snowflake Cortex strategy for RAG and internal knowledge
- Own production forecasting systems and monitoring
- Provide technical mentorship and influence cross functional roadmap
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS Glue | AWS Lambda | AWS Model Registry | AWS S3 | AWS SageMaker | Apache Spark | Asset bundles | B testing | CI/CD | DLT | Databricks | Databricks (asset) | Databricks Asset Bundles | Databricks Genie | Databricks Workflows | Delta Lake | Drift Detection | Embeddings | Entity Resolution | Feature Store | Forecasting | GitHub Actions | Graph Machine Learning | Graph Neural Networks | LightGBM | MLOps | MLflow | Machine Learning | Model Monitoring | Model Registry | Neural Networks | PyTorch | Python | Recommendation Systems | SQL | Scikit-learn | Snowflake | Snowflake Cortex | Snowflake DCR | Snowpark | TensorFlow | Unity Catalog | XGBoost
Education
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