Staff Engineer – Data/AI Platform Engineering
Bangalore, India (Hybrid)
R
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Champion architectural rigor documentation and knowledge sharing
- Define ML model deployment inference lifecycle architecture
- Define data platform architecture
- Design batch and real time inference systems
- Design scalable secure compliant data systems
- Drive platform strategy
- Ensure adherence to data protection and regulatory frameworks
- Ensure platform scalability availability performance
- Establish MLOps standards experiment tracking model observability
- Establish data governance catalog lineage compliance
- Implement data anonymization and privacy preserving pipelines
- Improve system resilience monitoring and operational excellence
- Lead complex cross-functional initiatives
- Lead data ingestion storage processing access design
- Mentor engineers and raise engineering quality
- Optimize infrastructure cost and resource utilization
- Productionize models with data science teams
- Promote data quality versioning lifecycle management
Perks/Benefits
- Accidental insurance
- Flexible hours
- Hybrid work
- Life insurance
- Medical insurance
- Paid parental leave
- Paid time off
- Paid volunteering days
- Remote work
- Wellness sessions
Skills/Tech-stack
Azure | Batch Processing | Data Catalog | Data Governance | Data Ingestion | Data Lakes | Data Lifecycle Management | Data Lineage | Data Privacy | Data Processing | Data Quality | Data Storage | Data Versioning | Data access | Data anonymization | Data lifecycle | Distributed data | Distributed data processing | Document Management | Document Management Systems | Document processing | ELT | ETL | Experiment tracking | Feature Stores | GDPR | Inference Systems | Lifecycle Management | MLOps | Machine Learning | Management systems | Microsoft Purview | Model Deployment | Model Observability | Model Serving | NLP | NLP processing | OCR | Python | Real Time | Real-time Processing | Time processing
Education
N/A
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