ML Operations Engineer
Bangalore - IT Bhartiya City, India
INR 3000K-4000K (estimate) Mid-level Full Time
Tasks
- Build data pipelines for batch and real-time processing
- Build microservices with ML APIs
- Deploy machine learning models
- Deploy services with Kubernetes
- Design ML infrastructure
- Ensure secure deployment and data privacy
- Maintain CI/CD pipelines for ML workflows
- Manage RESTful API integration for ML services
- Monitor model performance latency and drift
- Optimize production ML systems
- Package models with Docker
- Troubleshoot distributed ML systems
Perks/Benefits
Skills/Tech-stack
AWS SageMaker | Azure ML | CD | CI | CI/CD | Data Pipelines | Docker | Docker containerization | FastAPI | Flask | Hadoop | Kubernetes | MLOps | MLOps lifecycle | Machine Learning | Microservices | Model Deployment | Model Monitoring | NoSQL | Python | REST APIs | SQL | Spark
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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