Engineer I, Machine Learning Ops CBM Lab

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.

• 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.

• Normal office environment with little or no exposure to dust or extreme temperature.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified.

Pay and Benefits*:

Pay Range: $60,000.00 - $99,700.00, Shirley Ryan AbilityLab offers a comprehensive benefits program that is competitive with our industry peers in our geographic locations: https://www.sralab.org/benefits

Benefits and benefits' eligibility can vary by position. Actual compensation will be determined by equity and qualifications of the role.

Shirley Ryan AbilityLab is the global leader in physical medicine and rehabilitation for adults and children with the most severe, complex conditions. By joining our team, you'll be part of our life-changing mission and vision. You'll contribute to an innovative, multifaceted culture that is second to none - one that embraces collaboration, excellence, discovery and compassion. You'll play a role in something that's never been done before as we integrate science and clinical care to help patients achieve better, faster outcomes - as we Advance Human Ability, together.