COMPREDICT

Working Student, MLOps

COMPREDICT

part-time

Posted on:

Origin:  • 🇩🇪 Germany

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Job Level

Entry Level

Tech Stack

DockerKubernetesPython

About the role

  • Support the deployment and operation of ML models and experiments
  • Help set up and maintain pipelines for training, testing, and monitoring models
  • Assist in using Docker and Kubernetes to run models in scalable environments
  • Collaborate with engineers and data scientists to improve workflows and automation
  • Learn by doing: see ML models go from research prototypes to production systems

Requirements

  • Bachelor/Master student in Computer Science, Data Science, or a related field
  • Good academic performance (strong grades in relevant courses)
  • Basic knowledge of Python
  • Interest or first experience with Docker and Kubernetes
  • Basic understanding of machine learning concepts
  • Quick learner with excellent analytic skills
  • Open-minded and communicative team player
  • Excited about working in a dynamic startup environment
  • Motivated to gain practical skills and contribute to meaningful projects
  • Good written and spoken English