AI/ML Engineer (Leased Labor 18-months) at Huawei Technologies Co. Ltd. - Germany

Munich, Bavaria, Germany -

Full Time

Start Date

Immediate

Expiry Date

15 Sep, 26

Salary

0.0

Posted On

17 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

PyTorch, TensorFlow, Keras, Python, LLM, CI/CD, Docker, AI Pipeline Development, Data Pre-processing, GPU Optimization, Deep Learning Frameworks, Model Benchmarking, Automotive AI Deployment, Data Labeling Workflows, Scripting, Build Automation

Industry

Telecommunications

Description

Huawei's Heisenberg Research Center in Munich is responsible for advanced technology research, architectural development, design and strategic engineering of our products. In the Automotive Engineering Lab (AEL) teams are rapidly growing and focused on advanced automotive technologies in multiple domains. Join Automotive Engineering Lab (AEL) as: AI/ML Engineer (Leased Labor 18-months) (m/f/d) Your mission Apply state of the art approaches to ensure smooth operation of AI/ML activities in the AEL Safety Team. Set up and maintain end-to-end AI pipelines, large-scale datasets, and deep learning frameworks. Develop and automate the AI engineering lifecycle, including model training and data labeling workflows. Implement data pre- and post- processing, including data transformations, cleaning, and filtering. Monitor and optimize the use of GPU resources, ensure system stability and performance. Deploy open-source models and conduct benchmarks. Your areas of expertise Bachelor’s or Master’s degree in Computer Science, Data Science / Analytics, Computer / Electrical Engineering or similar field. Experience and proficient skills in AI/ML design, training and implementation, AI frameworks such as PyTorch, TensorFlow, Keras, Python programming and data pre-/post-processing. Experience in deploying AI models using LLM related model. Experience in deployment of end-to-end models for automotive is an advantage. Knowledge in CI/CD environments, Docker, scripting and build/deploy process automation. Hands-on attitude and positive engagement to integrate into a high-performance team. Proficiency in English. German and/or Chinese knowledge are an advantage. By applying to this position, you agree with our Recruitment Privacy Statement. You can read in full our privacy policy here. Your rewards of working here Our culture is characterized by innovative power and team spirit as well as the intensive exchange of knowledge and experience within our global network. We offer healthy meals ranging from traditional Chinese to western delicacies in our famous company canteen. To keep your development ongoing, you will find a broad range of training opportunities. Many online and face-to-face training programs incl. language courses in German and Mandarin. Our diverse and welcoming environment is shaped by different backgrounds and around 40 individual nationalities. Self-responsible work in a competent, motivated and constantly growing team. Please send your application and CV (incl. cover letter and reference letters) in English.

Responsibilities

The role involves setting up end-to-end AI pipelines and automating the AI engineering lifecycle for the AEL Safety Team. Responsibilities include managing large-scale datasets, optimizing GPU resources, and deploying open-source models.