$ cat jobs/ml-application-engineer-japanese-or-korean-speaking-neuralconcept-bcde2f325cd6.json
ML Application Engineer (Japanese or Korean-speaking)
About the Role The mission of Neural Concept’s ML Application Engineering team is to help our customers in Korea and solve their most complex engineering challenges. We collaborate closely with engineering and design teams within the automotive, aerospace and energy industries, understand their challenges and pains, and help them identify solutions to accelerate their conception processes. We leverage our platform to unlock the value of the most complex computer-aided engineering datasets and to create a direct impact on product design processes. Using 3D deep learning and engineering intelligence, we empower our customers to develop better products faster. As a key player in the Application Engineering Team, your mission will be to help industry leaders to redefine their product design workflow with cutting-edge technologies. Your expertise should establish trust and admiration from our customers by delivering high-quality technical work. This is a chance to be at the intersection of engineering and AI, working with top-tier customers worldwide while shaping how the industry evolves. If you are interested in feeling firsthand the fast progress of engineering, this is the team for you. What you will do - You will run projects together with our customer’s engineering teams, analyze and process engineering data using our platform and python libraries, and develop tailored solutions and workflows - You will apply our machine- and deep-learning workflows to different engineering/physics problems, as well as deliver proofs-of-concept demonstrating how our technology creates value in CAD, CAE, and manufacturing. - You will train customer teams to effectively use our methods and platform, ensuring smooth AI adoption into their workflows. - You will work closely with our developers to translate customer needs and feedback into product improvements. Who you are - You are eager to tackle real-world challenges through machine learning and automation, with a passion for reshapi
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