Head of Data & ML Platform
Bengaluru, India
INR 2400K-6000K (estimate) Executive-level Full Time
Tasks
- Automate decisioning workflows
- Build and scale ML engineering functions
- Build and scale data engineering functions
- Build scalable data platforms
- Deploy ML models to production
- Design and operationalize decisioning platform
- Develop and deploy models with minimal bottlenecks
- Ensure model and decisioning compliance with RBI regulations
- Establish MLOps frameworks
- Expand decisioning systems across business functions
- Implement DataOps and L1 L2 support
- Implement automated testing and monitoring
- Implement data lifecycle governance
- Implement event driven data systems
- Implement lakehouse systems
- Implement real-time ingestion
- Implement rule engines
- Implement self-healing systems
- Implement site reliability engineering practices
- Integrate AutoML
- Integrate low code model development
- Maintain platform uptime
- Manage data lineage and auditability
- Manage technology partnerships and vendors
- Monitor and retrain ML models
- Optimize cloud costs
- Optimize infrastructure utilization
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Amazon SageMaker | Apache Airflow | Apache Flink | Apache Hadoop | Apache Kafka | Apache Spark | Automl | Cloud platform | Data Governance | Data Lineage | DataOps | Databricks | Distributed Computing | Docker | GDPR | Google Cloud | Google Cloud Platform | Google Vertex | Google Vertex AI | Java | Kubeflow | Kubernetes | MLOps | MLflow | Microsoft Azure | PyTorch | Python | Reliability Engineering | Rule engines | SQL | Scala | Scikit-learn | Site Reliability | Site Reliability Engineering | TensorFlow | Vertex AI | Workflow automation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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