Engineer I, Machine Learning Ops CBM Lab
About The Position
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.
Requirements
- 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.
Responsibilities
- 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.
Benefits
- Comprehensive benefits program that is competitive with our industry peers in our geographic locations
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
