Engineer II, Machine Learning Ops CBM Lab

Shirley Ryan AbilityLab; Chicago (IL); On-site; USD 72,600 - 120,600; Full time

Benefits offered by this job

Comprehensive benefits program

Job summary

Shirley Ryan AbilityLab is looking for a Machine Learning Ops Engineer II in Chicago, Illinois. You will design, develop, and operationalize machine learning models crucial for enhancing patient outcomes.

This role involves collaborating with data scientists, optimizing model performance, and managing machine learning infrastructure, with a strong focus on Python and machine learning frameworks.

The salary range is $72,600 to $120,600, and you will be part of a comprehensive benefits program.

Qualifications

• Minimum of 3 years of related experience.
• Experienced in deploying machine learning models.
• Strong troubleshooting and problem-solving skills.

Responsibilities

• Deploy and monitor machine learning models in production.
• Evaluate data sets for model suitability.
• Collaborate with data scientists to optimize performance.

Skills

Machine Learning frameworks

Python

Version control systems

Docker

Kubernetes

Cloud platforms

Problem solving

Good communication skills

Education

Bachelor’s Degree in Computer Science or related field

Tools

Git

Linux

Windows

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 Summary

The Machine Learning Ops Engineer II works under general supervision and plays an active role in the design, development, and/or operationalization of machine learning models. This position involves responsibility in planning and managing artificial intelligence (AI) and machine learning (ML) lifecycle processes and contributing to the efficiency and effectiveness of deployed models.

The Machine Learning Ops Engineer II 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 II 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 Engineer II will:

• Actively participates in deploying, monitoring, and scaling machine learning models in production and big data research.
• Evaluate data sets to determine suitability for applying machine learning models and techniques.
• Guide and assist with the collection and curation of clinical datasets.
• Assist in the implementation and evaluation of machine learning algorithms.
• Develop and maintain continuous integration and continuous deployment pipelines for automated training and deployment of machine learning models.
• Manage machine learning infrastructure and optimizes resource utilization.
• Implement monitoring solutions for model performance and health.
• Lead small projects or initiatives related to machine learning operations.
• Work collaboratively with data scientists to optimize model performance.
• Advocate for best practices in machine learning operations within the team.
• 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 designed engineering manager.

Knowledge, Skills & Abilities Required

• A professional level of knowledge in computer science, engineering or a related field, typically acquired through a Bachelor’s Degree.
• Minimum of 3 years of related experience working on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.
• Continues to develop professional expertise, applying institute policies and procedures to resolve a variety of issues.
• Proficient in using version control systems, especially Git.
• Able to manage branches, handle merge conflicts, and understand the importance of commit history and reverting changes.
• Strong skills in Python and experience with machine learning frameworks.
• Working proficiency with Linux and Windows operating systems.
• Familiarity with tools for deploying machine learning pipelines (eg Docker, Kubunates).
• Familiarity with cloud based production pipelines offered by leading manufacturers (eg Microsoft Azure, Amazon Web Services, Google Cloud, etc).
• Ability to work independently on assigned tasks and lead small projects. Excellent problem-solving skills and the ability to troubleshoot complex issues.
• Good communication skills in both written and verbal forms. Able to work with research subjects and clinicians in a clinical setting.
• Able to take direction and complete defined tasks in addition to anticipating and executing follow-up actions.
• Able to perform assignments by receiving general instructions on routine work, and detailed instructions on new projects or assignments.
• Able to exercise judgment within defined procedures and practices to determine appropriate action.
• 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:

$72,600.00 - $120,600.00

Benefits:

Shirley Ryan AbilityLab offers a comprehensive benefits program that is competitive with our industry peers in our geographic locations.

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

Equal Employment Opportunity Employer

Shirley 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.

Shirley Ryan AbilityLab is an affirmative Action Employer as required by law.