MLOps Engineer (Machine Learning Operations)
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Required Skills & Qualifications:
Python: Deep expertise in Python for scripting and automation.
AWS: Strong experience with AWS services, particularly SageMaker, S3, and Lambda.
Terraform: Proficiency in using Terraform for infrastructure-as-code on AWS.
Docker: Extensive experience with Docker, including building, managing, and securing Docker images.
Linux: Strong command-line skills in Linux, especially for Docker and system management.
DevOps Experience: Azure DevOps (ADO): Significant experience in setting up and managing CI/CD pipelines in ADO.
Git: Proficient in using Git for version control and collaboration.
Additional DevOps Tools: Experience with Jenkins or other CI/CD tools is a plus.
Experience & Education: 4 years of experience in combination of MLOps/DevOps/Data Engineering; Bachelor's degree in Computer Science, Engineering, or a related discipline.
Job Types: Full-time, Contract
Pay: $65.00 - $70.00 per hour
Expected hours: 40 per week
Benefits:
401(k) matching
Paid time off
Vision insurance
Schedule:
8 hour shift
Day shift
Monday to Friday
Experience:
Python: 1 year (Required)
SQL: 1 year (Required)
AWS: 1 year (Required)
Docker: 1 year (Required)
DevOps: 1 year (Required)
Ability to Commute:
Columbus, OH 43219 (Required)
Ability to Relocate:
Columbus, OH 43219: Relocate before starting work (Required)
Work Location: Hybrid remote in Columbus, OH 43219