Engineer I, Machine Learning Ops CBM Lab

Shirley Ryan AbilityLab

Chicago (IL)

On-site

USD 60,000 - 99,700

Full time

14 days+
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Job summary

Shirley Ryan AbilityLab in Chicago, IL, is seeking an Engineer I in Machine Learning Ops to help deploy, monitor, and manage ML models, toolboxes and systems.

You will collaborate with data scientists and software engineers, contribute to CI/CD pipelines, automate training and deployment, and uphold safety and core values while delivering reliable AI solutions.

Qualifications

  • Bachelor's degree in CS, engineering, or related field.
  • Baseline knowledge of ML concepts and workflows.
  • Familiarity with Git and Python; experience with TensorFlow or PyTorch preferred.

Responsibilities

  • Participate in a team to deploy and monitor machine learning models.
  • Review, organize and curate data as directed.
  • Develop and maintain CI/CD pipelines for machine learning systems.
  • Automate model training and deployment processes.
  • Help manage machine learning infrastructure and resources.
  • Support best practices for ML operations.
  • Troubleshoot deployed models and ensure secure computing.
  • Follow safety and organizational policies.

Skills

Git
Python
TensorFlow
PyTorch
Machine learning concepts

Education

Bachelor's Degree in CS/Engineering or related field

Job description

## Engineer I, Machine Learning Ops CBM LabApplylocations: Chicago, ILtime type: Full timeposted on: Posted Todayjob requisition id: JR-1065210Shirley 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.## ## **Job Description Summary**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.## ## **Job Description****The Machine Learning Ops will:*** 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.**Knowledge, Skills & Abilities Required:*** 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.**Working Conditions*** 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## **Benefits:**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.*
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