Must-have knowledge and experience:

- Implementation of AWS SageMaker in direct collaboration with data scientists who will be end users

- Communication skills

- Analytical thinking and problem solving

- Familiarity with basic concepts in machine learning, CI/CD pipeline, big data

- Knowledge of SQL and Python

Nice-to-have knowledge and experience:

- Implementation of model monitoring and ML Ops capabilities

- Integration of AWS SageMaker model output with cloud/hybrid/on-prem solutions

- Advanced knowledge of ML algorithms

- Knowledge of Spark/Scala