ADAS Data Science & Machine Learning Engineer (India)

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Become our next FutureStarter

Are you ready to make an impact? ZF is looking for talented individuals to join our team. As a FutureStarter, you’ll have the opportunity to shape the future of mobility. Join us and be part of something extraordinary!

ADAS Data Science & Machine Learning Engineer

Country/Region: IN

Location

Hyderabad, TG, IN, 500032

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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 6-8 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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What does DEI (Diversity, Equity, Inclusion) mean for ZF as a company?

At ZF, we continuously strive to build and maintain a culture where inclusiveness is lived and diversity is valued. We actively seek ways to remove barriers so that all our employees can rise to their full potential. We aim to embed this vision in our legacy through how we operate and build our products as we shape the future of mobility.

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