AI Research Scientist

AI Research Scientist

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 AI Research Scientist (m/f/d):
•    Conduct cutting-edge research to identify and develop novel AI/ML methodologies, including Deep Learning (DL) and Reinforcement Learning (RL).
•    Design and conduct experiments to test hypotheses, validate new approaches, and compare the effectiveness of different ML algorithms.
•    Analyze data to uncover hidden patterns and relationships that can inform the development of new AI techniques.
•    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.
•    Prototype and explore the potential of advanced machine learning models, including deep learning architectures like convolutional neural networks (CNNs) or recurrent neural networks (RNNs).
•    Contribute to the development of fundamental algorithms and frameworks that can be applied to various machine learning problems. This may involve improving existing algorithms or exploring entirely new approaches.
•    Focus on theoretical aspects of model design, such as improving model efficiency, reducing bias, or achieving explainability in complex models.
•    Document research methodologies, experimental procedures, and theoretical contributions for future reference and knowledge sharing within the research community.
•    Contribute to the development of the research team's long-term research goals and strategies.

Your profile as AI Research Scientist (m/f/d):
•    Master's degree in Mathematics, Computer Science or other related technical fields. Phd is good to have.
•    8+ years of experience in research development, with a strong understanding of data structures and algorithms.
•    5+ years of experience building and deploying machine learning models in production.
•    Proven experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
•    Experience with distributed computing systems and large-scale data processing & Excellent communication and collaboration skills.
•    Contribution to invention disclosure process & A strong publication record in top machine learning conferences or journals.

Why should you choose ZF Group in India?
Innovative Environment: 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.