Jobs in Park Ridge, IL

About The Position

Requirements

• 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, Kubenates).
• 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.

Responsibilities

• 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.

Benefits

• Comprehensive benefits program that is competitive with our industry peers in our geographic locations