Senior Data Scientist - AI/ML in Chennai, भारत

ZF is a global technology company supplying advanced mobility products and systems for passenger cars, commercial vehicles and industrial technology. Its comprehensive product range is primarily aimed at vehicle manufacturers, mobility providers and start-up companies in the fields of transportation and mobility. ZF electrifies a wide range of vehicle types. With its products, the company contributes to reducing emissions, protecting the climate as well as enhancing safe mobility. Alongside the automotive sector – passenger cars and commercial vehicles – ZF also serves market segments such as construction and agricultural machinery, wind power, marine propulsion, rail drives and test systems. With some 168,700 employees worldwide, ZF reported sales of €46.6 billion in fiscal year 2023. The company operates 162 production locations in 31 countries. Job Description 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 Senior Data Scientist-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.
• Ensure that the right architecture and design principles are consistently applied to achieve security, scalability, and long-term sustainability.
• 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.

• 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
• Basic knowledge of AI accelerator chips
• Knowledge of MLOps practices to ensure the robustness, reliability and scalability of AI systems
• Strong Python programming skills and experience with modern AI frameworks

• 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.