Requirements:

Hands-on experience in AWS SageMaker implementation in direct collaboration with data scientists as end users
Strong communication skills and ability to work with business stakeholders
Analytical thinking and problem-solving skills
Familiarity with machine learning concepts, CI/CD pipelines and big data
Knowledge of SQL and Python

Nice to have:

Experience in implementation of model monitoring and MLOps capabilities
Experience integrating AWS SageMaker model outputs with cloud, hybrid and on-premises solutions
Advanced knowledge of machine learning algorithms
Knowledge of Spark and Scala