Roles and Responsibilities

• Design, develop, and deploy end-to-end MLOps pipelines.
• Build and optimize machine learning models using Python.
• Work hands-on with AWS Bedrock and AWS SageMaker.
• Implement model deployment, monitoring, versioning, and retraining workflows.
• Develop CI/CD pipelines for automated ML deployment.
• Use Docker and Kubernetes for containerization and deployment.
• Collaborate with data science, engineering, and business teams.
• Provide technical guidance and act as a subject matter expert (SME).
• Ensure scalability, reliability, and performance of production ML solutions.

Mandatory Skills

• Strong experience in MLOps and Machine Learning.
• Python programming.
• AWS Bedrock and AWS SageMaker — both mandatory.
• End-to-end ML model deployment and monitoring.
• Strong communication and problem-solving skills.