MLOps: scaling ML in an industrial setting (Internship / Diploma Thesis)
In this role
In this project, the goal is to:
- Take an ML project and develop a protoptype pipeline that includes sourcing and cleansing of data, model building (with different parameters and algorithms), model and data versioning, model repo, model building environment, CI/CD pipeline, model interface and monitoring tool to detect data drifts.
What we offer
Join our team as intern and you will find a young, dynamic and culturally diverse working environment.
About your profile
knowledge / skills required
- Required: Jupyterhub, Docker, Kubernetes, Jenkins, Elastic or other NoSQL db
- Software engineering: Python, shell scripting
Your initiative is a chance ! We're constantly looking for talented individuals. Check our latest job opportunities !
With 50+ year of history and over 1300 specialists, we offer a unique spectrum of experience, skills and technical innovations.
You want to leverage your educational background, apply your infinite curiosity and your out-of-the-box thinking.