Senior Machine Learning Engineer
RMZ Ecoworld 32, India
INR 1500K-3000K (estimate) Senior-level Full Time
Tasks
- Architect scalable ML infrastructure
- Automate model training, validation, and deployment
- Build CI/CD pipelines for ML models
- Design and deploy machine learning models
- Develop reusable ML MLOps components
- Ensure data governance, privacy, and security compliance
- Establish observability and reliability practices for ML systems
- Evaluate and integrate ML lifecycle tools
- Implement distributed training and real time inference
- Integrate ML solutions with data scientists and engineering teams
- Mentor junior machine learning engineers
- Monitor model drift performance and data integrity
- Optimize model performance in production
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | Alerting | Arize AI | Azure | CI/CD | Data Governance | Data Privacy | Data Security | DataRobot | Distributed Training | Docker | Evidently AI | Experiment tracking | Feast | Feature Store | GCP | Horovod | Kubeflow | Kubernetes | MLflow | Model Deployment | Model Monitoring | Model Registry | Model Reproducibility | Model versioning | Observability | Python | Ray | Real Time | Real-time Inference | Roboflow | SLO | SageMaker | TFX | Tecton | Weights & Biases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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