ML Application Engineer (German-speaking)

📋 Description

• • Join Neural Concept SA as an ML Application Engineer (German-speaking) and become a pivotal force in revolutionizing how leading industries approach product design and development. Our ML Application Engineering team is dedicated to solving the most intricate engineering challenges faced by our clients, primarily within the dynamic automotive, aerospace, and energy sectors. You will be at the forefront of integrating cutting-edge AI and machine learning technologies into the core workflows of these industry giants, directly impacting their ability to innovate and bring superior products to market faster than ever before.
• • In this role, you will act as a trusted advisor and technical expert, collaborating intimately with our customers' engineering and design teams. Your primary mission will be to deeply understand their unique challenges, identify pain points within their existing conception processes, and architect innovative solutions that leverage Neural Concept's powerful platform. This involves harnessing the immense potential of complex computer-aided engineering (CAE) datasets, unlocking hidden insights, and translating them into tangible improvements in product design. By applying advanced 3D deep learning techniques and engineering intelligence, you will empower these industry leaders to develop better products with unprecedented speed and efficiency.
• • A significant aspect of your role will involve leading and executing projects in close partnership with customer engineering teams. This hands-on work will include the meticulous analysis and processing of vast engineering datasets, utilizing our proprietary platform and sophisticated Python libraries. You will be responsible for developing bespoke solutions and intricate workflows tailored to meet the specific needs of each client. This is an opportunity to apply state-of-the-art machine learning and deep learning methodologies to a diverse array of real-world engineering and physics-based problems, delivering compelling proofs-of-concept that vividly demonstrate the transformative value our technology brings to CAD, CAE, and manufacturing processes.
• • Beyond technical implementation, you will play a crucial role in knowledge transfer and adoption. This includes training customer teams on the effective utilization of our methods and platform, ensuring a seamless and successful integration of AI into their daily operations. Your ability to clearly articulate complex technical concepts to both highly technical engineers and non-technical stakeholders will be paramount in fostering trust and driving widespread adoption of our solutions.
• • Furthermore, you will serve as a vital conduit between our customers and our internal development teams. By actively gathering customer feedback, identifying emerging needs, and understanding real-world application challenges, you will directly contribute to the continuous improvement and evolution of our product. This collaborative feedback loop is essential for ensuring our platform remains at the cutting edge and continues to address the most pressing demands of the engineering landscape.
• • This position offers a unique opportunity to be at the dynamic intersection of advanced engineering disciplines and artificial intelligence. You will work with globally recognized, top-tier customers, gaining invaluable experience and insights into their product development cycles. By joining our team, you will not only contribute to solving complex technical problems but also actively shape the future trajectory of the engineering industry, making innovation faster, smarter, and more sustainable. If you are driven by the prospect of witnessing and influencing the rapid advancements in engineering firsthand, this role is designed for you.
• • We are seeking individuals who possess an insatiable curiosity and a proactive approach to tackling real-world engineering challenges through the power of machine learning and automation. A genuine passion for fundamentally reshaping how industry leaders practice engineering is essential. You should be comfortable navigating complex technical environments, building strong relationships with clients, and thriving in a customer-facing capacity. Your contributions will be instrumental in driving digital transformation and fostering a culture of AI-driven innovation within some of the world's most influential companies.