MLOps Engineer Co-Op: Build Production ML Pipelines

Boehringer Ingelheim; Ridgefield (CT); On-site; USD 28,000 - 45,000; Part time

Job summary

Boehringer Ingelheim is seeking a talented MLOps Engineer Co-Op to join the Central Data Science team at our Ridgefield, CT facility. You will work with data scientists to engineer and deploy ML solutions in production environments, helping shape complex analytics to transform healthcare.

This on-site role 2-3 days per week requires commuting distance for the duration of the internship and offers competitive hourly compensation based on degree level.

Qualifications

• Currently an undergraduate, graduate, or advanced degree student in good standing.
• Enrolled at a college/university for the duration of the internship.
• GPA 3.0+ (4.0 scale) required; no rounding.
• Major must be related to the internship field.
• Must have completed 12 credits in related coursework.

Responsibilities

• Provide engineering support to data scientists by developing secure, automated, scalable, production-grade solutions.
• Automate data sources, develop ML pipelines, and support platform/infrastructure.
• Contribute to app development and DevOps workflows for deployment.

Skills

Python

SQL

Bash

PowerShell

MLOps

GitHub

Bitbucket

Huggingface

AWS

Terraform

CloudFormation

CI/CD

Education

BA/BS in Computer Engineering or STEM field

Tools

GitHub

Bitbucket

Huggingface

AWS

Terraform

CloudFormation

Job description

Boehringer Ingelheim is seeking a talented MLOps Engineer Co-Op to join the Central Data Science team at our Ridgefield, CT facility. You will work with data scientists to engineer and deploy ML solutions in production environments, helping shape complex analytics to transform healthcare.

This on-site role 2-3 days per week requires commuting distance for the duration of the internship and offers competitive hourly compensation based on degree level.