Elevate your career as an AWS ML Engineer, leveraging expertise in SageMaker, Glue, S3, and Lambda to design innovative ML models and workflows. Join us to build effective ML solutions.

In this role, you will be responsible for developing complete ML workflows on AWS, which will involve building data pipelines for training and monitoring. You'll integrate machine learning models with various applications and optimize performance in a collaborative Agile environment with data scientists and DevOps teams.

Key Responsibilities: • Build end-to-end ML workflows using AWS services • Create data preprocessing and monitoring pipelines • Enhance model performance and scalability • Integrate ML with applications using cloud APIs • Collaborate with cross-functional teams in Agile

Requirements: • Experience with SageMaker, Glue, S3, and Lambda • Proven skills in ML model development and deployment • Familiarity with Agile development methodologies • Experience with API i...