Walk-in || MLOps Developer

Roles and Responsibilities

• 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.