MLOps Engineer Co-Op: Build Production ML Pipelines

Boehringer Ingelheim GmbH; Ridgefield (CT); On-site; USD 28,000 - 45,000; Full 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. As an MLOps Engineer Co-Op, you will work to engineer and deploy ML solutions in production and collaborate with data scientists to automate data sources and ML pipelines.

This on-site role requires commuting within the local area and offers the chance to contribute to global analytics initiatives while gaining practical experience in a leading pharmaceutical

Qualifications

• Currently enrolled student in good academic standing (undergrad/grad).
• Enrolled for duration of the internship.
• Overall GPA 3.0+ (unrounded).
• Major must relate to internship field.
• Completed 12 credit hours in related major/coursework.

Responsibilities

• Provide engineering support to data scientists by developing production-grade ML solutions.
• Automate data sources and pipelines for deployment.
• Develop ML pipelines and applications.
• Support platform and infrastructure for ML deployments.

Skills

Python

SQL

Bash/PowerShell

MLOps

GitHub

AWS

Terraform

CI/CD

DevOps

Communication

Education

Undergraduate or graduate student in related field

Tools

GitHub

Bitbucket

Hugging Face

Jenkins

AWS CloudFormation

Terraform

Job description

Boehringer Ingelheim is seeking a talented MLOps Engineer Co-Op to join the Central Data Science team at our Ridgefield, CT facility. As an MLOps Engineer Co-Op, you will work to engineer and deploy ML solutions in production and collaborate with data scientists to automate data sources and ML pipelines.

This on-site role requires commuting within the local area and offers the chance to contribute to global analytics initiatives while gaining practical experience in a leading pharmaceutical