Machine Learning Engineer (m/f/d)

Our many years of recruitment experience and our expert knowledge of the engineering job market make us a strong partner for engineers and technicians. We maintain close relationships with customers across all industries and therefore can provide engineering specialists with exciting projects and attractive job opportunities, drawing on your personal interests and experience. As your professional companion, we support you throughout the entire process, from the first contact to the first day on your new job – all this completely free of charge. Register now and look forward to many interesting and suitable positions and projects.

• Writing high quality, tested and efficient software in Python and C++ for our AI/ML SW Stack
• Developing advanced machine learning algorithms for automotive interior (in-cabin) sensing from early prototype to platform integration ready
• Relevant algorithmic problems include object detection and tracking, classification, segmentation, and 3D reconstruction

• Master's degree in computer science, electrical engineering or related field
• Releveant practical working experience
• Strong software development skills in both C++ and Python. You have a passion for clean, well-tested, and documented code.
• Deep understanding of artificial intelligence, model building, training, and evaluation
• Expert knowledge in at least one common ML framework (Tensorflow, PyTorch,…)
• Practical experience with Linux, version control systems (Git), build systems (Make, CMake, Autotools) and code review tools (Gerrit, Gitlab, Bitbucket)
• Fluent in English. Excellent written and verbal communication skills

• Fast and transparent application process
• Interviews directly with the department you will be working with
• Individual all-round support during your assignment with our customer
• Free access to the learning platform GoodHabitz with over 100 courses
• Flexible working time account and 30 days of paid leave

Ihr Kontakt

Ansprechpartner
Heiner Elser

Referenznummer
784035/1

Kontakt aufnehmen
Telefon:+49-(0)231-96325252
E-Mail: heiner.elser@hays.de

Anstellungsart
Anstellung bei der Hays Professional Solutions GmbH