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AI/ML Engineer - Automotive Technology (18-month contract)

Confidential company · Munich · Posted Jun 17, 2026

Public summary

An automotive technology research and engineering center in Munich is seeking an AI/ML Engineer for an 18-month contract. The role focuses on developing and maintaining AI pipelines, handling large datasets, deep learning frameworks, and optimizing GPU usage. Candidates should have proficiency in AI/ML implementation, experience with frameworks such as PyTorch and TensorFlow, and knowledge of deployment processes, especially in automotive contexts. English proficiency is required, German or Chinese are beneficial but not mandatory.

Location and work setup

Location
Munich
Remote status
On-site
German requirement signal
No German Required Detected
Detected job language
English

Responsibilities

Apply state-of-the-art AI/ML methodologies to support automotive safety projects; set up and maintain end-to-end AI pipelines and large-scale datasets; develop and automate AI engineering lifecycle including model training and data labeling; implement data pre- and post-processing; monitor and optimize GPU resources ensuring system stability and performance; deploy open-source AI models and conduct benchmarking.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, Computer or Electrical Engineering, or a related field; hands-on experience in AI/ML design, training, and implementation; proficient in AI frameworks such as PyTorch, TensorFlow, and Keras; strong Python programming skills; experience with deploying AI models including those related to large language models; familiarity with CI/CD environments, Docker, scripting, and automation of build and deployment processes; proficiency in English is required; German and/or Chinese knowledge is a plus.

Skills

AI/ML design Machine Learning Deep Learning Python programming PyTorch TensorFlow Keras Data pre-processing Data post-processing Model training CI/CD Docker Scripting Build and deployment automation GPU resource management Model deployment Large Language Models