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Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Stay at the forefront of the field by keeping abreast of the latest advancements in algorithms, tools, and theoretical frameworks.
- 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.
- Validate model outputs and ensure they are interpretable, reliable, and actionable for decision-making.
Requirements
What you’ll need- 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
Benefits
Comp & perks- 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.
ATS Keywords
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Hard Skills & Tools
Deep LearningReinforcement LearningGenerative AIGenerative Adversarial NetworksVariational AutoencodersTransformer-based networksLarge Language ModelsPythonMLOpsdata structures
Certifications
Master's degreePhD
