Hybrid Machine Learning Engineer

Posted 3 weeks ago

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About the role

  • Build, optimize and improve the performance of AI pipelines
  • Implement and modularize existing models and data flows (primarily Python, occasionally C++)
  • Cover the pipelines with tests and monitoring to ensure quality and stability
  • Ensure scalability, stability and maintainability of the codebase

Requirements

  • Several years of experience in Python development (C++ knowledge advantageous)
  • Practical experience delivering complex software projects — from structuring and design to release
  • Solid understanding of machine learning models and their integration
  • Experience with common frameworks and libraries (e.g., OpenCV, PyTorch)
  • Experience with cloud environments (Azure is a plus)
  • Experience with test automation (pytest, unittest, etc.) and monitoring
  • Clean, modular and well-documented coding practices
  • Experience with CAD or ERP systems and knowledge of performance tuning and GPU optimization are advantageous

Benefits

  • Attractive compensation model with multiple components (company pension plan, training and development)
  • Discounts via Corporate Benefits (corporate fitness, company bike programs, etc.)
  • Hybrid working model allowing flexible work from home and from our office
  • Responsibility from day one in an ambitious deep-tech environment
  • A growing company with drive, openness and team spirit
  • Opportunities for professional development and room for your ideas

Job title

Machine Learning Engineer

Job type

Experience level

Junior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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