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ELLEON

AI & ML Engineer

ELLEON
Switzerland · Full-time · Associate

We are recruiting on behalf of a fast-growing, deep-tech company based in Zürich at the forefront of applied AI and autonomous systems. Already in production and scaling rapidly, they are looking for experienced AI & ML Engineers to strengthen their core engineering team.


This is a hands-on role for someone early in their career who wants real ownership, real impact, and the chance to grow fast in a world-class technical environment.


Your responsibilities

  • Design, train, and evaluate machine learning models across various learning paradigms
  • Build and maintain scalable ML pipelines and data infrastructure for production use
  • Contribute to data collection, curation, annotation, and quality assurance workflows
  • Integrate learning-based methods into production software stacks
  • Collaborate with cross-functional R&D, Product, and Data teams
  • Participate in prototype testing and support production releases
  • Apply engineering best practices: versioning, modularity, testability, CI/CD


What we're looking for

  • BSc, MSc, or PhD in Computer Science, Data Science, or a related field — or equivalent hands-on experience
  • 0–4 years of professional experience in ML, data engineering, or MLOps
  • Solid Python skills and working knowledge of standard ML frameworks
  • Curious, autonomous, and pragmatic
  • Comfortable in fast-paced, collaborative environments
  • Fluent in English
  • Based in or relocating to Zürich, available immediately or on short notice (1 month)


Nice to have

  • Exposure to cloud infrastructure or containerisation environments
  • Interest or experience in reinforcement learning or imitation learning
  • Familiarity with data pipeline design or MLOps tooling
  • Any experience deploying ML models in production

Key Skills

Ranked by relevance

ai machine learning python cloud mlops
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Posted
May 06, 2026
Type
Full-time
Level
Associate
Location
Zurich
Company
ELLEON

Industries

Research Services Software Development Space Research Technology

Categories

Engineering Research Information Technology

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