IN_Manager_ML Ops Lead_Data and Analytics_Advisory_Hyderabad
Hyderabad - Salarpuria, India
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Build cloud native MLOps pipelines
- Deploy and manage ML models in cloud environments
- Design MLOps pipelines
- Detect model drift
- Develop ML infrastructure on Azure
- Ensure continuous model improvement
- Ensure reproducibility
- Implement CI/CD
- Implement model versioning best practices
- Implement observability
- Integrate ML into healthcare workflows
- Lead ML system lifecycle
- Mentor teams on MLOps practices
- Monitor model performance
- Productionize ML models as low latency APIs
- Productionize ML models for batch systems
Perks/Benefits
- N/A
Skills/Tech-stack
AKS | Azure | Azure Kubernetes | Azure Kubernetes Service | Batch Processing | CI/CD | Data Pipelines | Deep learning | Kubernetes Service | Large Scale Data | Large-scale | Large-scale Data Pipelines | Low Latency | Low Latency APIs | Machine Learning | Model versioning | NLP | Observability | Orchestration | Python | Reproducibility | Statistical modeling | Transformers
Education
Roles
Engineer | Lead | Learning Engineer | ML Ops Lead | MLOps Engineer | Machine Learning Engineer | Ops Lead
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