Machine Learning Operations (MLOps) Engineer
Seri Lingampally, India
A INR 2535K-4500K (estimate) Senior-level Contract
Tasks
- Automate testing and validation for ML systems
- Build and manage feature pipelines and stores
- Collaborate on security and compliance controls
- Contribute to ML platform standards and best practices
- Deploy and serve ML models
- Design and implement CI/CD pipelines for ML workflows
- Develop operational dashboards and incident response processes
- Monitor and analyze model performance
- Operationalize experiment tracking and model registry
- Optimize infrastructure for training and inference
Perks/Benefits
- N/A
Skills/Tech-stack
Architecture Design | Artifact management | Autoscaling infrastructure | CD pipelines | CI/CD | CI/CD pipelines | Deployment Patterns | Experiment tracking | Feature Pipelines | Feature Stores | GPU Utilization | Incident Management | Learning operations | ML Governance | ML platform | ML platform engineering | Machine Learning | Machine Learning Operations | Model Deployment | Model Monitoring | Model Observability | Model Registry | Model deployment patterns | Operational dashboards | Platform Engineering | Reference Architecture | Reference architecture design | Security practices | Template development | Testing Frameworks | Workload Scheduling
Education
N/A
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