The ML Application Engineering Team aims to help customers solve complex engineering challenges in the automotive, aerospace, and energy industries by leveraging their platform and 3D deep learning to accelerate conception processes and improve product development.
Requirements
- Excellent understanding of both Engineering and Machine Learning
- Strong experience with Python programming
- Experience with machine learning and deep learning frameworks and libraries
- Experience with simulation
- Industry experience in CAD / CAE (CFD, FEM, etc) modelling is a plus
Responsibilities
- Run projects together with the customer’s engineering teams
- Develop tailored solutions
- Analyse data for each project using Python
- Apply deep-learning tools to different engineering/physics problems
- Deliver proofs-of-concept demonstrating how the technology creates value in CAE workflows
- Train customer teams to effectively use the NC platform
- Work closely with the product team to translate customer feedback into product improvements
Other
- Master’s degree in Engineering , Applied Mathematics, or Physics
- You can convey technical concepts to both technical and non-technical stakeholders in a clear and compelling way
- You have excellent communication skills , enjoy working with people, and feel comfortable in the customer-facing role
- You are eager to solve real-world problems with machine learning and automation
- You are committed to a high level of professionalism and ethics
- Fluent in English
- Hybrid work options and flexible schedules
- Travelling: We try to be close to our customers and meet them regularly. This position might require up to 2 5 % travelling to customer premi s es .
