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ADAS Data Science & Machine Learning Engineer

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  • Posted 19 hours ago
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Job Description

Job Description :

Req ID 87037|Hyderabad, India,ZF India Pvt. Ltd.

Job Description

Job Description:

  • 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 (Generative AI) for existing and future software-in-the-loop and hardware-in-the-loop test benches (SiL/HiL)
  • ensure that Ai and LLM based solution are applicable for development and adequate training methodologies are provided.
  • Responsibility for state of the art AI models in use

Your Profile:

  • 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, etc.) and sensor data (camera, LiDAR, radar, etc.)
  • Experience with driver assistance systems or autonomous driving functions at least 3 years of professional experience in the relevant field
  • High interest of newest technologies and development trends in this field of neuronal networks, AI, agentic AI, etc… - As this field is fast moving, you shall be very self-driven and motivated to continuously build up knowledge

Be part of our ZF team as ADAS Data Science & Machine Learning Engineer and apply now!

Contact

Veerabrahmam Darukumalli

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About Company

ZF is a global technology company supplying systems for passenger cars, commercial vehicles and industrial technology, enabling the next generation of mobility. ZF allows vehicles to see, think and act. In the four technology domains of Vehicle Motion Control, Integrated Safety, Automated Driving, and Electric Mobility, ZF offers comprehensive product and software solutions for established vehicle manufacturers and newly emerging transport and mobility service providers. ZF electrifies a wide range of vehicle types. With its products, the company contributes to reducing emissions, protecting the climate and enhancing safe mobility.

Job ID: 149399309