MLOps Engineer (Machine Learning Operations)

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