Description

You will own the development of end-to-end ML workflows on AWS.

Responsibilities

• Build data preprocessing, training, inference, and monitoring pipelines using SageMaker, Glue, S3, and Lambda.
• Integrate ML models with applications via APIs and cloud services.
• Optimize model performance, scalability, and cost within AWS infrastructure.
• Collaborate with Data Scientists, Data Engineers, and DevOps teams in Agile delivery.

Required Skills

• 5+ years of experience in ML engineering.
• Proficiency with SageMaker, Glue, S3, and Lambda.
• Hands-on experience with core AWS services.
• Familiarity working with Data Scientists and Data Engineers.
• Experience developing and deploying ML models.

Preferred Skills

Key Skills

Education

Any Gradute