Lead - Data & Ml Platform Engineering
INR 3000K-4800K (estimate) Senior-level Full Time
Tasks
- Architect data lakehouse platform
- Build ML lifecycle with MLflow
- Build governance as code frameworks
- Deploy real time model inference
- Design Delta Lake storage layer
- Develop developer platform SDKs and CLIs
- Implement ML governance and feature store
- Implement Unity Catalog governance
- Implement data quality profiling and anomaly detection
- Lead FinOps cost allocation and chargeback
- Manage GPU TPU training and scheduling
- Manage data catalog lineage and metadata
- Operate platform monitoring and observability
- Optimize query performance and partitioning
- Run incident management and postmortems
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Apache Spark | Audit trails | B testing | Canary deployments | Capacity Planning | Chargeback | Cluster management | Cost Allocation | DBU Cost Allocation | DPDP Act | Data Catalog | Data Governance | Data Lineage | Data Quality | Databricks | Delta Lake | Feature Store | FinOps | GPU Cluster | GPU Cluster Management | Incident Management | ML pipelines | MLOps | MLflow | Mosaic AI | Observability | PII masking | Photon | RAG | Streaming processing | TPU Cluster | TPU Cluster Management | Unity Catalog | Vector Databases | Vector Search
Education
Roles
Data Governance | Data Governance Engineering Manager | Data Platform | Data Platform Engineering Manager | Engineering Manager | Machine Learning Platform Engineering Manager | Manager | Operations Engineering Manager | Platform | Platform Engineering Manager | Platform Operations Engineering Manager
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