AI / ML Engineer
Bengaluru, BDC14A, India
INR 1500K-2000K (estimate) Mid-level Full Time
Tasks
- Automate testing model validation and deployment
- Build and maintain scalable ML pipelines
- Deploy and serve machine learning models
- Develop production ready ML systems
- Implement batch inference and realtime inference
- Initiate model retraining and tuning
- Maintain ML model registry
- Monitor model performance data drift and system health
- Orchestrate end to end ML lifecycle
- Set up CI CD automation for ML projects
- Set up alerts and dashboards
- Version package and register machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Batch inference | CI/CD | Continuous Delivery | Continuous integration | Data Drift | Deep learning | Docker | FastAPI | GitHub Actions | Learning operations | MLflow | Machine Learning | Machine Learning Operations | Model Deployment | Model Monitoring | Neural Networks | Realtime Inference
Education
N/A
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | MLOps Engineer | Machine Learning Engineer
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