IT Co-Op - MLOps

Boehringer Ingelheim is currently seeking a talented and innovative MLOps Engineer Co-Op candidate to join Central Data Science team at our Ridgefield, CT facility.

As an MLOps Engineer Co-Op, you will work on a global strategic initiative to make better use of our data and enhance our ability to make data driven decisions. You will work closely with data scientists to engineer and deploy machine learning solutions in production environments. You will help the team shape, develop, and execute complex analytic solutions that will transform the healthcare industry.

Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, diversity and inclusion, mobility, networking and work-life balance.

As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies´ success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, diversity and inclusion, mobility, networking and work-life balance.

Our competitive compensation and benefit programs reflect Boehringer Ingelheim´s high regard for our employees.

This role is an Co-op role is an on-site position 2-3 days per week in our Ridgefield, CT office. Applicants will need to be located within commuting distance for the duration of the Co-op / Internship.

This position offers an hourly rate typically between $20/ hour and $33/ hour commensurate to the level of degree program in which an applicant is actively enrolled.

For an overview of our benefits please clickhere. Rate is dependent upon degree level.

The primary focus of the MLOps Engineer Co-Op candidate will be to provide engineering support to data scientists by developing secure, automated, scalable, maintainable production-grade solutions for deployment. Responsibilities include data source automation, ML pipeline development, app development, platform and infrastructure support.

• Must be a current undergraduate, graduate or advanced degree student in good academic standing.
• Student must be enrolled at a college or university for the duration of the internship.
• Overall cumulative minimum GPA from last completed quarter/semester 3.0 GPA (on a 4.0 scale) or better (No rounding up).
• Major must be related to the field of internship
• Must have completed 12 credit hours within a related major and/or other related coursework.

• BA/BS or MS in Computer Engineering, or another STEM field.
• Proficient in Python, SQL. Experience in scripting with Bash or Power Shell.
• Solid understanding of MLOps practices (reproducible ML, feature store use, model deployment, drift detection).
• Good knowledge of code and binary repositories (Git Hub, Bitbucket, Huggingface).
• Infrastructure as a Service (IaaS) Cloud based experience in AWS.
• Infrastructure as Code (IaC) experience with AWS Cloud Formation and/or Terraform.
• Solid understanding of the software development lifecycle utilizing the Dev Ops framework around CI/CD.
• Good knowledge of CI/CD tools, processes, and procedures (AWS CI/CD services, Jenkins).
• Experience in data source access and automation.
• Some knowledge of…