**Company: Neural Concept Job Description Summary: Company: Neural Concept Qualifications: Senior (5+ years of experience) Language requirements: Fluent in English, B2 level in German Specific requirements: Good understanding of Physics and ML, experience with Python and deep learning frameworks Educational level: Master’s or PhD in Mechanical engineering, Applied Mathematics, or Physics Job Description: The ML Application Engineering Team Our mission is to support our customers in solving 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, Neural Concept, and its components developed by our software engineers to unlock the value of the most complex Computer-Aided Engineering datasets and to create a direct impact on production design processes. Using 3D deep learning, we empower our customers to develop better products faster. What you will do As a key player in the team, your mission will be to establish trust and admiration from our customers by delivering high-quality technical work. While working towards this goal: • You will run projects together with the customer’s engineering teams, develop tailored solutions and analyse data for… each… project using Python. • You will apply our deep-learning tools to different engineering/physics problems as well as deliver proofs-of-concept demonstrating how our technology creates value in computer-aided engineering workflows. • You will be in constant contact with customers to demonstrate the value of NC, and transmit the vision of the company. • You will train our customers to make the most out of their NCShape licences and work with them to develop web applications and APIs putting 3D deep learning in production to accelerate their design processes. • You will be part of our constant effort to further develop our deep-learning platform by collecting user feedback and relaying it to the product team. • You will have the opportunity to work with global leaders and top research departments across different industries towards a new engineering revolution. Who you are • You have a good understanding of both Physics and ML (strict requirement) • You hold a Master’s or PhD in Mechanical engineering, Applied Mathematics, or Physics • You have a strong experience with Python programming and experience with deep learning frameworks (strict requirement) • You like working with people and feel comfortable in the customer-facing role • You have excellent communication skills and like to work in a team • You are eager to solve real-world problems with machine learning • Industry experience in CAD / CFD / FEA modelling is a plus • You are fluent in English and have at least B2 level in German You get • A competitive salary and generous equity compensation plan – we are growing fast and want our employees to benefit from this growth. • Work with people who care about you – we support each other and care about you so that you can thrive. • Flexible schedule with the possibility of home-office; part-time (80%) or full-time (100%) schedule • Work with a world-class technology team – our engineers are top-notch. • The opportunity to be part of a growing company with global ambitions – our product is in demand in all regions of the world. • The opportunity to contribute to changing the future of engineering – we believe that our product will contribute to changing the future of many industries. Where you will be Location: Munich (Germany), hybrid schedule Travelling: We desire to be close to our customers and meet them regularly. This position might require up to 20% travelling to customer locations. Start date: February – May- July 2024 Company: Neural Concept Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Germany, Industry, Machine Learning, NLP
Company:Neural Concept
Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years):Senior (5+ years of experience)
“Fine-tuning” means adapting an existing machine learning model for specific tasks or use cases. In this post I’m going to walk you through how you can fine tune a large language model for sentence similarity using some hand annotated test data. This example is in the psychology domain. You need training data consisting of pairs of sentences, and a “ground truth” of how similar you want those sentences to be when you train your custom sentence similarity model.
Hire an NLP developer and untangle the power of natural language in your projects The world is buzzing with the possibilities of natural language processing (NLP). From chatbots that understand your needs to algorithms that analyse mountains of text data, NLP is revolutionising industries across the board. But harnessing this power requires the right expertise. That’s where finding the perfect NLP developer comes in. Post a job in NLP on naturallanguageprocessing.
Natural language processing What is natural language processing? Natural language processing, or NLP, is a field of artificial intelligence that focuses on the interaction between computers and humans using natural language. NLP is a branch of AI but is really a mixture of disciplines such as linguistics, computer science, and engineering. There are a number of approaches to NLP, ranging from rule-based modelling of human language to statistical methods. Common uses of NLP include speech recognition systems, the voice assistants available on smartphones, and chatbots.
