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ZF Friedrichshafen
ADAS Data Science and Machine Learning Engineer
ZF Friedrichshafen
Hyderabad•On-site•3-6 Yrs•2 hours ago
Job description
ADASData ScienceMachine LearningGenerative AILLMsSynthetic DataAI-based SolutionsSensor Data
Overview
Developing design of scaling of AI-based solutions in the ADAS field evaluation, and implementation of modern generative AI models (LLM-based generators, diffusion models, GANs, etc.) generate synthetic data using artificial intelligence for existing and future software-in-the-loop and hardware-in-the-loop test benches (SiL/HiL).
Responsibilities
- Developing design of scaling of AI-based solutions in the ADAS field evaluation.
- Implementation of modern generative AI models (LLM-based generators, diffusion models, GANs, etc.) generate synthetic data using artificial intelligence (Generative AI).
- Ensure that AI and LLM based solutions are applicable for development and adequate training methodologies are provided.
- Responsibility for state of the art AI models in use.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or equivalent experience
- Knowledge of artificial intelligence (large language models, neural network training, world foundation models)
- Experience with driver assistance systems or autonomous driving functions – minimum 3 years
Nice to have
- High interest of newest technologies and development trends in this field of neuronal networks, AI, agentic AI
- Self-driven and motivated to continuously build up knowledge
Education
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or equivalent experience