Key Responsibilities:

• Evaluate and integrate cutting-edge machine learning technologies with existing engineering software to improve and innovate engineering processes.
• Understand and apply the latest advancements in AI/ML to real-world engineering challenges.
• Develop, test, and refine proof-of-concept demonstrators that showcase the integration of technology building blocks.
• Work collaboratively with a global team of experts in various fields to contribute to multi-disciplinary projects.
• Stay abreast of technological advancements in machine learning and engineering, ensuring the adoption of best practices in project development.

Qualifications:

• Degree in Computer Science, Engineering, or a related field with a strong focus on machine learning/AI.
• Proven experience in evaluating and applying machine learning techniques in an engineering context.
• Strong understanding of engineering processes and the ability to apply AI/ML principles to improve them.
• Experience developing proof-of-concept demonstrators or prototypes integrating diverse technology components.
• Excellent problem-solving skills and the ability to work effectively in a multi-disciplinary, global team.
• Fluent in programming languages commonly used in machine learning, such as Python

What We Offer:

• An opportunity to be at the forefront of integrating AI/ML with engineering, contributing to cutting-edge projects.
• Collaboration with a diverse team of specialists from around the world.
• A culture that values innovation, creativity, and continuous learning.