Engineer I, Machine Learning Ops CBM Lab

Shirley-Ryan-Ability-La; Chicago (IL); On-site; USD 60,000 - 100,000; Full time

Benefits offered by this job

Benefits package

Pay range: $60,000–$99,700 per year

Job summary

Shirley Ryan AbilityLab in Chicago is seeking an entry‑level Machine Learning Ops Engineer I to help deploy, monitor, and manage ML models and systems. You will collaborate with data scientists and software engineers to implement AI solutions in production and contribute to a culture of excellence and compassion.

You’ll build data pipelines, participate in CI/CD for ML, automate training and deployment, and support an efficient, secure computing environment while following institute policies and

Qualifications

• Bachelor's degree in CS, engineering or data science.
• Foundational knowledge of ML concepts and workflows.
• Familiarity with Git and basic Git commands.

Responsibilities

• Deploy and monitor ML models for stability and reliability.
• Review, organize and curate data as directed; implement/test ML algorithms.
• Develop and maintain CI/CD pipelines for ML systems.
• Automate model training and deployment processes.
• Assist with ML infrastructure and resource management.
• Apply best practices for ML operations and security.
• Troubleshoot issues in deployed models.
• Adhere to organizational safety policies.

Skills

Python

Git

TensorFlow

PyTorch

Education

Bachelor's degree in CS/engineering/data science

Tools

TensorFlow

PyTorch

Job description

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.Job Description SummaryThe 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 DescriptionThe 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 ConditionsNormal 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 - $99,700.00Benefits:Shirley Ryan AbilityLab offers a comprehensive benefits program that is competitive with our industry peers in our geographic locations: https://www.sralab.org/benefitsBenefits and benefits’ eligibility can vary by position. Actual compensation will be determined by equity and qualifications of the role.Equal Employment Opportunity EmployerShirley Ryan AbilityLab is an Equal Employment Opportunity Employer. All applicants will be afforded equal employment opportunity without discrimination because of race, color, religion, sex, marital status, national origin or ancestry, citizenship status, age, disability, sexual orientation, gender identity, genetic information, military status, order of protection status, unfavorable discharge from military service, or any other characteristics protected by law.EEO is the Law | EEO is the Law - Know Your Rights | View our Full PolicyShirley Ryan AbilityLab is an Affirmative Action Employer as required by law.