Data Scientist /Machine Learning Engineer

As a Data Scientist / Machine Learning Engineer, you will be an integral part of our team, playing a pivotal role in leveraging data-driven insights to enhance our products and services and in developing and implementing cutting-edge ML and deep learning solutions across a variety of use cases. Your responsibilities will span a wide range of use cases, including computer vision for object detection and recognition, predictive maintenance, anomaly detection, to pioneering generative AI projects and design optimization. You will work closely with cross-functional teams to design, develop, and deploy AI models that improve our efficiency and innovation. Your contributions will directly impact our success in the automotive sector. Please email resume

Responsibilities:

• Design, develop, and deploy AI models, including but not limited to computer

vision and generative AI, to solve complex problems in the automotive industry.

• Collaborate with cross-functional teams to understand business challenges

and identify opportunities for leveraging machine learning technologies.

• Utilize generative AI models to innovate in design, R&D and manufacturing

processes.

• Optimize existing ML models for performance and scalability, leveraging

CUDA advanced GPU architectures and parallel computing frameworks for efficient computation.

• Design and implement machine learning pipelines to preprocess data, train

models, and evaluate performance metrics.

• Utilize Python programming language and deep learning frameworks such as

PyTorch and TensorFlow to implement machine learning solutions.

• Apply statistical techniques and machine learning algorithms to solve complex

problems in the automotive sector.

• Stay abreast of the latest developments in data science, machine learning,

deep learning, and AI technologies, and apply this knowledge to drive continuous innovation within the company.

• Develop and maintain documentation for data analysis methodologies, model

development, and deployment processes, ensuring reproducibility and compliance with industry standards.

• PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine

Learning, or a related field.

• Proven experience in machine learning, deep learning, and AI.
• Excellent understanding of Python programming language, CUDA, and GPU

architectures for parallel computing and model optimization.

• Strong knowledge of machine learning architectures and techniques, with a

focus on computer vision and generative AI.

• Proficiency in deep learning frameworks such as PyTorch and TensorFlow.
• Experience with parallel computing and optimization for high-performance

computing environments.

• Ability to work collaboratively in a team and communicate complex concepts

clearly to non-technical stakeholders.

• Innovative thinking with a passion for tackling challenging problems and

pushing technological boundaries.

• Solid foundation in machine learning architectures, techniques, and

frameworks, with a particular emphasis on applications in computer vision and generative AI.

• Excellent analytical skills, with the ability to interpret complex data and

translate findings into strategic insights and practical solutions.

• Strong communication skills, capable of conveying technical concepts to non-

technical stakeholders.

• Minimum of 5 years’ experience in a machine learning engineering role,

preferably within the automotive industry or a related sector.

• Proven experience in developing and deploying machine learning models for

real-world applications.

• Self-motivated with a passion for continuous learning and professional

development.

• Experience working in Agile and on a cloud provider (such as Azure) would be