Description

You will own the deployment and maintenance of machine learning workflows.

This role is on-site.

Responsibilities

• Deploy batch models using AWS SageMaker Pipelines and Step Functions.
• Develop and maintain real-time model deployments on SageMaker endpoints.
• Build and manage Data Engineering Pipelines, including Feature Engineering.
• Utilize AWS services to support data and ML pipeline operations.

Required Skills

• 5+ years of professional experience in MLOps or related fields.
• Proven experience deploying batch models using AWS SageMaker Pipelines and Step Functions.
• Solid experience with AWS services including Lambda, S3, EMR, IAM, SNS, and CloudWatch.
• Experience with MLFlow for model tracking and management.
• Proficiency in Data Engineering pipelines and Feature Engineering.
• Experience working with Snowflake databases and relational datasets.

Key Skills

Education

Any Gradute