AI Engineer

Medline Industries continues to grow, and grow, and grow.  In fact, we’ve enjoyed DOUBLE DIGIT growth in 56 of the past 57 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 AI 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).