Hybrid Trainee, Software Engineer, Decision Support and Advanced Analytics

Posted 1 hour ago

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About the role

  • Software Engineer Trainee developing computer vision systems for an international company committed to sustainable development. Engaging in software design, implementation, and collaborative workflows.

Responsibilities

  • The work will mainly consist of developing computer vision systems, however, depending on your interests, there are also opportunities to focus more on software packaging and delivery, DevOps, MLOps, or project coordination.
  • You will work on strengthening our computer vision capabilities for manufacturing from a software engineering perspective. This includes software design and implementation, testing, collaboration using version control, and developing best practices for coding and teamwork.
  • You will help bring new life to some of our prototypes and create robust systems that can be easily maintained and adapted for new contexts.
  • More concretely, your work may include tasks such as: Collaborating on the software design process and creating diagrams and documentation
  • Setting up your own development environment and initializing a new software project, including packaging and development tooling
  • Implementing well-structured software and tests that are easy to maintain and adapt to new use cases
  • Assisting our team in crafting software development workflows for computer vision, machine learning, data science, and web application use cases, as well as improving collaboration practices.

Requirements

  • You are a Master’s-level student (or equivalent) with a relevant background in Software Engineering, Computer Science, Machine Learning, or another relevant engineering field.
  • Fluency with software development in Linux with modern tools like VS Code and Git
  • A solid understanding of Python programming, including unit/integration testing and dependency management (e.g. effectively using virtual environments), and a good grasp of modern software design concepts — such as abstraction, modularity, data modelling, and maintainability — whether gained through object‑oriented or functional programming paradigms
  • Familiarity with a modern web stack, including languages such as TypeScript, relational database APIs, and frameworks such as Flask, FastAPI, and React
  • A collaborative attitude and experience working on a team to develop software
  • Bonus points if you: Are familiar with the Python ecosystem and tooling, such as type annotations, PEPs, pdm or uv, offline packaging with wheels, etc.
  • Have experience working with Agile- or Scrum-inspired workflows, such as collaborative task tracking (e.g., GitHub Issues, Azure DevOps)
  • Have worked with a public cloud (Azure, AWS, GCP), CI/CD pipelines (e.g. Azure, GitHub, GitLab), infrastructure as code, or MLOps
  • Have worked with computer vision and ML in Python (e.g. OpenCV, Ultralytics, PyTorch), or are familiar with IoT systems including PLCs
  • Can show evidence of contributions to open-source projects with multiple contributors.

Benefits

  • Safety and well-being: We prioritize the safety of all our employees, ensuring everyone returns home safely. We care about each other and the well-being of our colleagues.
  • Our community is built on great team spirit and shared commitment.
  • A meaningful job: We have an inspiring purpose “We renew the everyday for a future beyond fossils”. We do our work with professional pride, producing high-quality, sustainable products for our customers globally.
  • Development opportunities: We are an international, multi-business organization offering plenty of avenues for personal growth.
  • Responsible employer: Sustainability is at the core of everything we do. We are committed to ambitious, science-based sustainability targets in all areas from climate change to biodiversity. We foster diversity and inclusivity, offering a work environment in which everyone can be themselves.

Job title

Trainee, Software Engineer, Decision Support and Advanced Analytics

Job type

Experience level

Entry level

Salary

Not specified

Degree requirement

Postgraduate Degree

Location requirements

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