Engineer I, Machine Learning Ops CBM Lab
Chicago, IL On-site
$60,000–$99,700 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
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. The Machine Learning Ops Engineer I will consistently demonstrate support of the Shirley Ryan AbilityLab statement of Vision, Mission and Core Values by striving for excellence, contributing to the team efforts and showing respect and compassion for patients and their families, fellow employees, and all others with whom there is contact at or in the interest of the institute. The Machine Learning Ops Engineer I will demonstrate Shirley Ryan AbilityLab Core Attributes: Communication, Accountability, Flexibility/Adaptability, Judgment/Problem Solving, Customer Service and Core Values (Hope, Compassion, Discovery, Collaboration, and Commitment to Excellence) while fulfilling job duties.
What you'll bring
- 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
- 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.