Required Skills

pythonmachine learningdeep learning

Job Description

*Become our next FutureStarter**
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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!

*Technical Expert \- AI/ML**

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Country/Region: IN

Location

Chennai, TN, IN, 600116

Req ID 87870 \| GEC Chennai, India, ZF Commercial Vehicle Control Systems India Limited

*Job Description**
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*About the Team:**

ZF COE Team is effectively communicate complex technical concepts related to AI, ML, DL, and RL to both technical and non\-technical audiences. This might involve presenting research findings at conferences or writing papers for academic journals.

*What you can look forward to as Technical Expert \- AI/ML (m/f/d):**

Stay at the forefront of the field by keeping abreast of the latest advancements in algorithms, tools, and theoretical frameworks. This might involve researching areas like interpretability of machine learning models or efficient training methods for deep neural networks.
Conduct cutting\-edge research to identify novel AI/ML methodologies, including Deep Learning (DL), Reinforcement Learning (RL), Generative AI and Agentic AI.
Perform domain\-specific data analysis to identify trends, patterns, and insights relevant to business objectives.
Collaborate with business stakeholders to understand operational challenges and translate them into analytical tasks.
Fine\-tune and optimize existing AI/ML solutions to reduce bias and improve performance, accuracy in alignment with business goals.
Ensure that the right architecture and design principles are consistently applied to achieve security, scalability, and long\-term sustainability.
*Your profile as Technical Expert \- AI/ML (m/f/d):**

8\+ years of experience in research development, with a strong understanding of data structures and algorithms.
Master's degree in Mathematics, Computer Science or other related technical fields. Phd is good to have.
Hands\-on experience with generative AI architectures including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and autoregressive models, Transformer\-based networks, LLMs, SLMs including model finetuning.
Familiar with implementing RAG (Retrieval\-Augmented Generation) architecture for sophisticated AI applications
Knowledge of MLOps practices to ensure the robustness, reliability and scalability of AI systems
Strong Python programming skills and experience with modern AI frameworks

*Why you should Choose ZF Group in India :**

**Innovation and Technology Leadership:** ZF is at the forefront of technological advancements, offering a dynamic and innovative work environment that encourages creativity and growth.
**Diverse and Inclusive Culture:** ZF fosters a diverse and inclusive workplace where all employees are valued and respected, promoting a culture of collaboration and mutual support.
**Career Development:** ZF is committed to the professional growth of its employees, offering extensive training programs, career development opportunities, and a clear path for advancement.
**Global Presence:** As a part of a global leader in driveline and chassis technology, ZF provides opportunities to work on international projects and collaborate with teams worldwide.
**Sustainability Focus:** ZF is dedicated to sustainability and environmental responsibility, actively working towards creating eco\-friendly solutions and reducing its carbon footprint.
**Employee Well\-being:** ZF prioritizes the well\-being of its employees, providing comprehensive health and wellness programs, flexible work arrangements, and a supportive work\-life balance.

Be part of our ZF team as Technical Expert \- AI/ML and apply now!

Contact

Sowmya Nagarathinam

*What does DEI (Diversity, Equity, Inclusion) mean for ZF as a company?**
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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.