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. Experience with large language models and productionizing ML models in a cloud environment. Exposure to near real-time inference systems and batch processing in ML. Familiarity with data drift and model drift management Job Type: Full-time Pay: $90,000.00 - $95,000.00 per year Experience: APIs: 5 years (Preferred) Terraform: 5 years (Preferred) CI/CD: 5 years (Preferred) Docker: 5 years (Preferred) Ability to Commute: Columbus, OH 43219 (Preferred) Work Location: Hybrid remote in Columbus, OH 43219