GenAI and ML Ops Engineer
IND19-01-Bengaluru-EPIP 122 (Phase II), India
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Automate model lifecycle management
- Conduct proof of concepts for new tools
- Develop ML and GenAI pipelines
- Govern AI model deployments
- Implement CI/CD, testing, and deployment
- Integrate LLMs into business workflows
- Mentor teams on productionizing AI
- Monitor model observability
- Operationalize machine learning models
- Optimize cloud infrastructure for AI workloads
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Azure | Bedrock | CI/CD | Deep learning | Diffusion Models | Docker | FastAPI | Feature Engineering | Flask | GenAIOps | Generative AI | GitHub Actions | Hadoop | Jenkins | Jupyter | Keras | Kubeflow | Kubernetes | Langchain | Langgraph | Langsmith | MLOps | MLflow | Machine Learning | Model Evaluation | Prompt engineering | PyTorch | Python | SQL | SageMaker | Scikit-learn | Self-Supervised Learning | Self-supervised | Spark | Supervised Learning | TensorFlow | Transformers
Education
Regions
Countries
States
Cities
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