AWS ML Ops Engineer

Job Summary

A company is looking for an AWS ML Ops Lead Engineer, responsible for managing the operational aspects of machine learning models.

Key Responsibilities

• Implement and maintain ML training, evaluation, deployment, and monitoring automation workflows using AWS SageMaker
• Create and update MLOps reference standard solutions, validating and redeploying existing Python GitHub repositories
• Design and maintain production-grade monitoring and logging systems for ML models

Required Qualifications

• Hands-on technical experience with AWS SageMaker, Python, GitHub, AWS Glue, Lambda, Amazon Redshift, and Amazon S3
• Experience with AWS CloudFormation and/or Terraform
• Bachelor's Degree in MIS, Computer Science, Math, Engineering, or a comparable major
• Solid foundation in Computer Science with competencies in Gen AI, ML, data structures, algorithms, and software design
• Knowledge of developing software using agile methodologies