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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

4Open Positions

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  • Working Student ML Infrastructure

    Celonis
    Munich, Germany
    Found 5 months ago
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Working Student ML Infrastructure

Celonis
Found 5 months ago
Location
Munich, Germany
Time
Part-time
Work Mode
Hybrid
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • Python
  • FastAPI
  • Pydantic
  • PyVCR
  • SQLAlchemy
  • unit testing
  • version control
  • CI/CD
  • Docker
  • Kubernetes
  • ArgoCD
  • Github Actions

Soft Skills

  • Curiosity
  • Problem-solving attitude
  • Collaborative team spirit

Job Description

As a Working Student in the ML infrastructure team, you will gain experience in developing production ready python solutions that will accelerate AI/ML product development. You may interact closely with other software engineers, machine learning engineers and platform infrastructure engineers within the product and engineering organization to enable other teams to build scalable and high quality AI/ML solutions for our customers. The work you’ll do: Build new features for our python packages/services and contribute to existing ones used by both customers and internal teams Drive code quality improvements in our python projects Collaborate with product managers, backend engineers and customer support engineers to improve the existing python ecosystem Collaborate with various teams and coworkers to drive innovation in AI/ML product development

Requirements

  • Student of computer science or of a comparable program
  • Engineering background with hands-on-experience in in Python (plus familiar with frameworks such as FastAPI, Pydantic, PyVCR, SQLAlchemy)
  • Familiarity with software engineering best practices (unit testing, version control, CI/CD, etc.)
  • Curiosity about how things work and the will to improve them
  • Ability to understand business problems and the needs of our users
  • Problem-solving attitude
  • Collaborative team spirit

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English

Nice to Haves

  • Familiarity with software engineering best practices (unit testing, version control, CI/CD, etc.)
  • Curiosity about how things work and the will to improve them
  • Ability to understand business problems and the needs of our users
  • Problem-solving attitude
  • Collaborative team spirit
  • Experience with Docker, Kubernetes, ArgoCD and/or Github Actions is a plus
▶Apply Now

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