AI Engineer

Medline Industries - Northfield, IL

Part-time - Mid Level

Northfield, IL

Miscellaneous Manufacturing

About the position

Medline Industries is seeking an AI Engineer to join its Data Science team. This role focuses on developing and deploying AI solutions within core business functions using cloud-native technologies. The AI Engineer will ensure the scalability, availability, and efficiency of AI deployments while establishing best practices in AI operations.

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 Google Cloud Platform.
• Lead the integration of ML models into existing and new system architectures, focusing on compatibility and high performance in a cloud environment, including 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).

Requirements

• 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, Google Cloud Platform) 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.

Nice-to-haves

• Experience operationalizing GenAI applications or assistants.

Benefits

• Health and well-being benefits
• Financial fitness programs
• Career development opportunities
• Paid time off
• 401(k) plan for employees working less than 30 hours per week
• Employee Assistance Program (EAP)
• Employee Resource Groups (ERG)
• Medline Service Corps