Internship (m/f/d) - AI Framework for Automated Forecasting at ABB
68309 Mannheim, , Germany -
Full Time


Start Date

Immediate

Expiry Date

26 Sep, 25

Salary

0.0

Posted On

26 Jun, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Physics, Interpersonal Skills, Platforms, Keras, Learning Techniques, German, Computer Science, English, Pandas, Mathematics, Python, Systems Engineering, Numpy

Industry

Information Technology/IT

Description

Bei ABB helfen wir Industrien beim Überholen - schlanker und sauberer. Hier ist der Fortschritt eine Erwartungshaltung- für Sie, Ihr Team und die Welt. Als weltweiter Marktführer geben wir Ihnen, was Sie brauchen, um dies zu ermöglichen. Es wird nicht immer einfach sein, denn Wachstum braucht Mut. Aber bei ABB werden Sie nie allein laufen. Run what runs the world.
Diese Position untersteht:
R&D Team Lead

Responsibilities

KEY RESPONSIBILITIES

The work model for the role is: #LI-Hybrid

You will be mainly accountable for:

  • Implement an AutoML-based pipeline (e.g., data preprocessing, feature selection, algorithm selection, model evaluation, etc.).
  • Enhance and refine the framework by improving its structure and usability, ensuring a seamless experience for users. Contribute to making the solution intuitive and accessible through thoughtful design and implementation.
  • Develop detailed and user-friendly documentation to guide future developers and users, enabling effective utilization and further development of the solution.
  • Expand the capabilities of the software by integrating additional algorithms and features. You’ll have the opportunity to innovate and contribute your own ideas to shape the future of the solution.
  • Drive an independent work task as a project team member, taking ownership and bringing your creativity and technical skills to the table.

QUALIFICATIONS FOR THE ROLE

  • You are currently studying Mathematics, Physics, Systems Engineering, Electrical Engineering, Computer Science or a related field.
  • You have a strong understanding of both traditional machine learning models and deep learning techniques, and you’re excited to apply them to real-world scenarios.
  • You have hands-on programming experience, particularly in Python, with a knack for writing clean, well-structured and maintainable code.
  • Ideally you have prior experience developing ML-based forecasting models and are familiar with automated machine learning concepts and tools.
  • You have worked with platforms like MLflow, TensorFlow, PyTorch, or similar, and are comfortable using libraries such as scikit-learn, Keras, pandas, NumPy or other ML frameworks.
  • You have a good grasp of software engineering principles, version control systems (e.g. Git) and collaborative development practices.
  • You are fluent in English (written and spoken); German is a plus but not mandatory.
  • You are a motivated team player with the ability to work independently in an international, interdisciplinary environment.
  • You have strong communication and interpersonal skills combined with enthusiasm for professional and personal growth.
    Interested in joining our team? We are looking forward to receiving your complete application through our online tool. In the case of equal suitability, people with severe disabilities and their equals are given preference.
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