AI Engineer
Medline Industries - Transportation & Operations
Northfield, IL
Job Summary
Job Description
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).
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.
Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.
The anticipated salary range for this position:
$115,440.00 - $173,160.00 AnnualThe actual salary will vary based on applicant’s location, education, experience, skills, and abilities. This role is bonus and/or incentive eligible. Medline will not pay less than the applicable minimum wage or salary threshold.
Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average. For a more comprehensive list of our benefits please click
. For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp.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
.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.