Working Student – Machine Learning (Video)

Working Student – Machine Learning (Video)

Job Description:

As a Working Student specializing in Machine Learning with a focus on Video, you will play a vital role in supporting our Senior AI and ML Engineers. Your primary responsibilities will involve assisting in the design, training, and evaluation of cutting-edge Computer Vision and Video Machine Learning models. You will engage in tasks that include collecting, analyzing, and preparing datasets for training, validation, and testing, ensuring that state-of-the-art technologies are utilized for next-generation automotive infotainment middleware. Additionally, you will process image and video data, implementing various techniques for pre-processing, normalization, and data augmentation to enhance the robustness of the models. This position will provide you with invaluable hands-on experience and an opportunity to work on innovative projects in the fast-evolving field of artificial intelligence.

IT Languages:

• Python
• C++
• OpenCV
• PyTorch
• TensorFlow
• Keras

In this role, you will support the development and evaluation of machine learning models, contributing to various aspects of their lifecycle.:

Assist in designing and training Computer Vision models;; Support the evaluation of machine learning algorithms;; Analyze and prepare datasets for various stages of model development;; Process image and video data for model training and validation

Spoken Languages:

• English;; German

Skillset:

• Machine Learning
• Deep Learning
• Computer Vision
• Data Analysis

Soft Skills:

• Problem-solving
• Team collaboration
• Attention to detail
• Adaptability

Qualifications:

• Currently enrolled in a Bachelor or Master program in Computer Science, Data Science, or a related field
• Understanding of Computer Vision principles and practices

Years of Experience:

1

Location:

Germany

Job Benefits:

• Flexible working hours
• Opportunity to work on innovative projects
• Mentorship from experienced professionals
• Exposure to the latest technologies

Working Conditions:

Part Time

Employment Type:

Internship

Company Culture:

• The company fosters a collaborative and innovative environment where creativity is encouraged, and team members are empowered to explore new ideas. We value continuous learning and provide opportunities for personal and professional development.

Opportunities For Advancement:

• Potential to transition to a full-time role after graduation, Possibility to work on advanced projects with experienced teams

Visa Sponsorship:

Available