Should have a solid understanding of CI/CD and MLOps best practices. Responsible for designing and implementing solutions on the Amazon Web Services (AWS) ecosystem. Strong understanding of AWS and be proficient in Python for scripting and ML model integration. Hands-on experience with Docker, GitHub Actions, and Apache Airflow is a must. Familiarity with AWS CloudFormation, AWS Glue, and AWS Lambda. Experience deploying ML models using Amazon SageMaker.