Medline Industries continues to grow, and grow, and grow. In fact, we've enjoyed DOUBLE DIGIT growth in 54 of the past 55 years! And we are AGAIN named as a Chicago Tribune Top Employer! Doesn't that sound like the kind of place you'd want to join?

Medline is seeking a Software Engineer for its Data Science team, responsible for developing and deploying AI solutions within core business functions using cloud-native technologies. This role involves ensuring scalability, availability, and efficiency of AI deployments, and establishing best practices in AI operations. Candidates should have cloud-native experience with machine learning engineering and AI platforms in a large-scale environment. Experience operationalizing GenAI applications is not required, but will be an advantage.

Responsibilities:

• Design and implement end-to-end machine learning pipelines that are fully integrated within cloud-native architectures, ensuring scalability and robustness.
• Work closely with data scientists to operationalize machine learning models on cloud AI platforms, transitioning from experimental prototypes to production-grade solutions.
• Optimize data architectures to enhance the performance and scalability of ML systems on cloud platforms such as AWS, Azure, and GCP.
• Lead the integration of ML models into existing and new system architectures, focusing on compatibility and high performance in a cloud environment. This includes designing and implementing robust APIs.
• Continuously monitor, evaluate, and enhance the performance and efficiency of ML systems deployed on cloud infrastructures.
• Collaborate with cloud architecture advisors to leverage advanced features of cloud technologies and AI platforms.
• Establish and evangelize best practices around AI Operations (including MLOps and LLMOps).

Qualfications:

• At least 4 years of cloud-native experience in machine learning engineering, supporting large infrastructure environments.
• Demonstrated experience with AI platforms on the cloud, such as Azure Machine Learning, Google AI Platform, or AWS SageMaker.
• Strong proficiency in using major cloud services (Azure, AWS, GCP) for deploying ML models and managing data pipelines.
• Proficient in Python, SQL, and cloud-native technologies such as Kubernetes and Docker.
• Experience using Linux OS.
• Strong problem-solving skills, organizational abilities, and effective communication skills.
• Experience operationalizing GenAI applications or assistants.

Education:

• Bachelor's degree in computer science, Engineering, or a related field.

DISCLAIMER

All duties and requirements are subject to possible modification to reasonably accommodate individuals with disabilities.

This position description in no way states or implies that these are the only duties to be performed by an employee occupying this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by their supervisor(s)/manager(s).

This document does not create an employment contract, implied or otherwise, other than an "at will" employment relationship.

About Medline

Medline Industries is the largest privately held manufacturer and distributor of healthcare supplies in the United States, providing more than 550,000 products that serve the entire continuum of care. Our innovative products and programs can be found in most hospitals, extended-care facilities, surgery centers, physician offices, home care dealers, home health agencies and retail outlets.

Founded in 1910, Medline has grown from a small manufacturer of aprons, surgical gowns and uniforms to a thriving $17 billion global enterprise because of our dedicated people, entrepreneurial spirit and honest values.

Again named one of the country's "Best and Brightest Companies to Work For" and once again named to Chicago Tribune's Top Workplaces, Medline has experienced fifty-plus years of consecutive annual growth, and is headquartered in Northfield, IL.