Job Summary

Job Description

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).

Qualifications:

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.

Benefits - Medline is committed to offering competitive benefits and a variety of choices to best meet the needs of you and your family. For employees scheduled to work at least 30 hours per week, this includes health and well-being, financial fitness, career development, paid time off and more. Employees scheduled to work less than 30 hours per week can participate in the 401(k) plan, access the Employee Assistance Program (EAP), Employee Resource Groups (ERG) and Medline Service Corps. For a more comprehensive list of our benefits, please click here.

Every day, we're focused on building a more diverse and inclusive company, one that recognizes, values and respects the differences we all bring to the workplace. From doing what's right to delivering business results, together, we're better. Explore our Diversity, Equity and Inclusion page. can the underlined be a link to https://www.medline.com/about-us/inclusion-and-diversity/

Medline Industries, LP is an equal opportunity employer. Medline evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic.