**Company: Kapsch TrafficCom AG Job Description Summary: The company Kapsch TrafficCom develops smart solutions for safer and more efficient mobility worldwide, including traffic management systems and tolling services. The responsibilities of the role include discovering and developing new technology ideas, leading product life cycles, and collaborating with various functions. The ideal candidate should have a Masters/PhD degree in a relevant field, at least 3 years of software development experience, and knowledge of C++, Python, and AI technologies. The company offers a dynamic work environment, career growth opportunities, and competitive benefits. The role is based in Vienna, with a gross salary of 68,000 euros per year. Kapsch is an equal opportunity employer. Job Description: Kapsch TrafficCom develops smart solutions to make mobility safer, more sustainable and efficient for everybody. We design, build and operate traffic management systems including connected vehicles technology and mobility demand management as well as tolling services for cities, roads, tunnels and bridges around the world. We develop data and video analytics platforms, building on state-of-the-art technologies including AI, machine learning, big data and cloud services to enable the digitalization of mobility. Your responsibilities: Discovering and developing new and/or innovative technology product ideas, strategic product extensions or enhancements to existing products for the translation of research discoveries into usable and marketable products. Identifying, collecting and evaluating new and/or innovative technology products. Leading, planning and tracking all phases of the technology product life cycle from inception through introduction into the marketplace. Appraising new… technology product ideas to determine their potential to address customer needs and to achieve goals in revenue growth and market share. Establishing technology product specifications and collaborating with various functions, including engineering, manufacturing, telecommunications, marketing and sales, to ensure successful product development and implementation. Solving complex problems; taking a new perspective on existing solutions. Working independently; receiving minimal guidance. Possibility of leading projects or project steps within a broader project or having accountability for ongoing activities or objectives. In-depth knowledge in own area and basic knowledge of related areas. Acting as a resource for colleagues with less experience. Your Profile: Masters/PhD degree in computer science, electrical engineering, mathematics, physics, software engineering or similar Ability to actively drive proof of concepts as well as to transform the same into performance applications and products At least 3 years of professional experience in software development Profound knowledge of software development with C++ and Python Experience with deep learning, computer vision, image processing, machine learning highly beneficial Familiar with Linux environments and docker Practical knowledge of Continuous Integration / Continuous Delivery (CI / CD) Familiar with Agile and Scrum development methodologies Proactive mindset to drive collaboration between teams in an intercultural environment cross-organizational environment Ability to assist team members to overcome technical problems Strong analytical problem-solving and decision-making skills Our Offer: You will be part of this exciting endeavor in an international company with European roots. A hands-on onboarding with an experienced team to get familiar with the business and domain-related processes. We are looking for a “sustainable” addition to the team, as our approach is to develop and retain people and their knowledge Grow together with our company and pursue internal career paths and goals (career mobility initiatives) An interesting and responsible position with exciting challenges in an internationally operating family business A dynamic and supportive work environment. Collaborative team culture. Social benefits of a modern company, e.g. Home office, mobile devices, flexible working hours, operating restaurants, meal discount, bridge day regulation etc. Possibility to participate in regular trainings (technical and personal development) A market compliant gross salary of 68 000 p.a. based on a full-time employment, which can be adapted according to your qualifications and your job experience Location: Vienna Start date: as soon as possible, full time position The Benefits of working for the Kapsch Group Kapsch is proud to be an equal opportunity employer. We attach great importance to a balance in the diversity of our employees. Therefore we welcome all applications without regard to gender, age, religious beliefs/ideology, sexual orientation, ethnicity or national origin. Your contact person for this position is: Sylwia Kolp. T: +43 50 811 1902
Company:Kapsch TrafficCom AG
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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.
