Senior Machine Learning Engineer
RMZ Ecoworld 32, India
INR 2475K-3465K (estimate) Senior-level Full Time
Tasks
- Architect scalable ML infrastructure
- Automate model training validation deployment
- Build reusable ML ops components and libraries
- Design ML CI CD pipelines
- Ensure data governance, privacy, and security compliance
- Establish observability and reliability practices
- Evaluate and integrate new ML lifecycle tools
- Implement model drift and performance monitoring
- Integrate ML solutions with data science and DevOps
- Mentor junior ML engineers
- Support distributed training and real time inference
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | Arize AI | Azure | CI/CD | Cloud platform | Computer Vision | Data Governance | Distributed Training | Docker | Evidently AI | Experiment tracking | Feature Engineering | Feature Store | Google Cloud | Google Cloud Platform | Horovod | Kubeflow | Kubernetes | MLflow | Model Deployment | Model Monitoring | Model Registry | Model Reproducibility | Model versioning | Observability | Python | Ray | Real Time | Real-time Inference | SageMaker | TFX | Weights and Biases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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