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- Strong understating of Python, ML concepts and frameworks, Fast API, Graph QL
- Experience in developing scalable APIs.
- Knowledge of AWS, preferred services are storage, EC2, Kubernetes
- Exposure of ML best practices, documentation and unit testing.
- ML Flow, AirFlow, ML pipeline creation, drift monitoring and control
- Experience in developing and deploying machine learning models in a production environment using CI/CD.
- Communicate with clients to understand requirements and ask right questions.
- Knowledge of Django and database design will be added advantage.
- Strong analytical and problem-solving skills.
MLOPs Engineer - Bengaluru, India - Tech Mahindra (formerly Mahindra Satyam)
Description
Role: MLOPs Engineer
Experience: 7+ Years
Mandatory Skills: Python, ML concepts and frameworks, Fast API, Graph QL, AWS, ML Flow, Airflow, ML pipeline creation, drift monitoring
Roles and Responsibilities: