- Design, develop, and maintain scalable ML pipelines using MLflow, TensorFlow, PyTorch, Keras, and other relevant technologies.
- Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs.
- Implement continuous training (CT) strategies to improve model performance over time.
- Ensure seamless integration of models into production environments through model deployment and monitoring tools like AWS SageMaker, Azure Machine Learning Studio, GCP Cloud AI Platform.
📌 Chennai Walk in ML Ops Developer
🏢 Tata Consultancy Services
📍 Chennai
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