MLOps Co-Op Engineer: Production ML & Data Pipelines

BioCT Innovation Commons; Ridgefield (CT); Hybride; USD 28 000 - 45 000; Plein temps

Résumé du poste

Boehringer Ingelheim is seeking a talented MLOps Engineer Co-Op to join the Central Data Science team at our Ridgefield, CT facility. This on-site role collaborates with data scientists to deploy production-grade ML solutions and to transform healthcare decisions through scalable data engineering.

The role requires current student status, 3.0+ GPA, and coursework in Computer Engineering or related STEM fields, with hands-on experience in Python, SQL, AWS, and CI/CD.

Qualifications

• Must be a current undergraduate, graduate or advanced degree student in good academic standing.
• Must be enrolled at a college or university for the duration of the internship.
• Overall GPA of 3.0 or better (no rounding).
• Major must be related to the internship.
• Must have completed 12 credit hours within a related major/coursework.

Responsabilités

• Provide engineering support to data scientists by developing secure, automated, scalable production-grade ML solutions.
• Handle data source automation, ML pipeline development, app development, and platform/infrastructure support.

Connaissances

Python

SQL

Scripting (Bash/PowerShell)

MLOps practices

DevOps / CI/CD

Git repositories

AWS

Terraform / CloudFormation

Jenkins

Team collaboration

Communication skills

Networking & security basics

Formation

BSc in Computer Engineering or STEM field

Outils

GitHub

Bitbucket

Huggingface

AWS

Terraform

CloudFormation

Jenkins

Description du poste

Boehringer Ingelheim is seeking a talented MLOps Engineer Co-Op to join the Central Data Science team at our Ridgefield, CT facility. This on-site role collaborates with data scientists to deploy production-grade ML solutions and to transform healthcare decisions through scalable data engineering.

The role requires current student status, 3.0+ GPA, and coursework in Computer Engineering or related STEM fields, with hands-on experience in Python, SQL, AWS, and CI/CD.