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Deep Learning Engineer - Working Student

📍 Germany 💼 Internship 🏷️ Emerging Technologies and Specialized Roles 📈 1+ years experience 🕐 Posted 3 weeks ago

Job Description

Join us in redefining how factories respond to changes in production. Our innovative AI-driven software transforms complex manufacturing environments into interactive and collaborative experiences, making production planning accessible to everyone, not just the specialists. As a Deep Learning Engineer Working Student, you will play a crucial role in enhancing our digital factory experiences. You will assist our team of AI researchers and engineers in developing advanced model features and contribute to designing and implementing experiments aimed at improving model performance. This position offers an exciting opportunity to work at the intersection of AI technology and manufacturing.

Key Responsibilities

Assist in enhancing AI models and conducting experiments for performance optimization.

  • Support AI researchers in developing new model features
  • Design and launch experiments to improve model performance

Required Technical Skills

Deep learning Computer vision CNN Transformer architectures Model tuning Training

Soft Skills

Collaboration Adaptability Effective communication

Qualifications

  • Bachelor's degree in computer science or related field
  • Strong understanding of deep learning and computer vision

Language Requirements

Programming Languages:

Python, PyTorch

Spoken Languages:

English, German

Benefits & Perks

  • ✓ Additional vacation days
  • ✓ Flexible working hours
  • ✓ Hybrid office culture
  • ✓ Job ticket
  • ✓ Urban sports club membership

Working Conditions

Hybrid

Company Culture

We foster a collaborative environment where innovation is encouraged and every team member's input is valued. Our culture emphasizes flexibility and work-life balance, allowing employees to thrive both personally and professionally.

Salary Range

70.000 - 120.000 EUR

Project Types: Not Available

Career Growth: Potential for full-time employment after internship, Professional development opportunities

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