> Markdown version of [/jobs/ext/1458935-engineer-i-machine-learning-ops-cbm-lab](https://www.wearedevelopers.com/jobs/ext/1458935-engineer-i-machine-learning-ops-cbm-lab). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Engineer I, Machine Learning Ops CBM Lab - **Company:** Shirley Ryan AbilityLab - **Location:** Chicago, IL, United States - **Experience:** Starter - **Salary:** $60,000.0 - $99,700.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cyber Security, Continuous Integration, Python (Programming Language), Machine Learning, Tensorflow, Pytorch, Git, Information Technology, Machine Learning Operations, Software Version Control, Programming Languages - **Published:** July 27, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c03ba02a1db7f9a9 ## About the Role * A foundational level of knowledge in computer science, engineering, data science, or related field, generally acquired through the completion of a Bachelor's Degree. * Basic understanding of machine learning concepts and workflows. * Familiarity with version control systems, preferably Git, is required. * Basic understanding of Git commands and workflows (e.g., commit, push, pull, merge, branch) is expected. * Familiarity with programming languages like Python and tools like TensorFlow or PyTorch. * Ability to work under supervision on assigned tasks. * Good communication skills and the ability to work well in a collaborative environment. * Entry level position with no previous professional experience. * Learns to use professional concepts while working on projects of limited scope. * Normally receives detailed instructions on all work. * Able to take direction and complete defined tasks in support of engineering team. * Able to apply institute policies and procedures to resolve routine issues. * Able to follow standard practices and procedures in analyzing situations or data from which answers can be readily obtained. * Able to build stable working relationships with multidisciplinary team. ## Description The Machine Learning Ops Engineer I, under direct supervision, will assist in the development, deployment, and management of machine learning models, toolboxes and systems. This role involves collaborating with data scientists and software engineers to facilitate the implementation of artificial intelligence (AI) and machine learning (ML) solutions in production environments., * Participate in a team to deploy and monitor machine learning models, ensuring their stability and reliability. * Review, organize and curate data as directed. Implements and tests machine learning algorithms as directed. * Assist in the development and maintenance of continuous integration and delivery pipelines for machine learning systems. * Contribute to the automation of model training and deployment processes. * Assist with the management of machine learning infrastructure and resources. * Support the team in implementing best practices for machine learning operations. * Help in troubleshooting and resolving issues in deployed machine learning models. * Participate in maintaining a safe and secure computing environment in compliance with organizational policies and procedures. * Participate in maintaining a safe work environment through adherence to policies and procedures relative to safety, fire prevention, hazard communications, security, equipment use and maintenance, infection control and vehicle safety. * Perform all other duties that may be assigned in the best interest of the Shirley Ryan AbilityLab. Reporting Relationships: * Reports directly to a designated engineering manager. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [My journey into DevOps world - How it all started!](https://www.wearedevelopers.com/videos/545-my-journey-into-devops-world-how-it-all-started) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)