Engineer I - Machine Learning Ops - CBM

By joining our team, you’ll be part of our life-changing Mission and Vision. You’ll work in a truly inclusive environment where diversity and equity are championed through words and actions.

You’ll contribute to an innovative culture that is second to none, one that embraces curiosity, 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.

Do you have the skills to fill this role Read the complete details below, and make your application today.

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.
• Implement and test 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.

Equal Employment Opportunity

ShirleyRyan AbilityLab is an equal opportunity / affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

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