Machine Learning Engineer with AWS
Summary
Build and deploy ML models on AWS, focusing on MLOps, cloud engineering, and data workflows using SageMaker, Lambda, and related services.
What You Bring Bachelor’s degree in computer science, engineering, data science, information systems, or a related technical field, or equivalent combination of education and relevant experience. 8 years of experience in machine learning engineering, MLOps, cloud engineering, data engineering, DevOps, or production analytics support. Practical experience working with AWS services used for machine learning or data workflows, such as Amazon S3, SageMaker, Lambda, Step Functions, CloudWatch, IAM, …