**Company: Aeroficial Intelligence GmbH Salary: 2.854 € to 2.855 € / month Job Description Summary: Aeroficial Intelligence is an Aviation IT company based in Graz, established in 2018. They have developed the Cockpit Suite cloud platform for airports and air traffic control. The company is looking for a Full Stack Developer to design, develop, and deploy software solutions. This role involves working with cross-functional teams to create user experiences, build back-end systems, and contribute to the success of the Cockpit Suite. The ideal candidate should be passionate about clean code, have programming experience in JavaScript/TypeScript and Java/Kotlin, and ideally experience with cloud technologies and modern software architecture concepts. The benefits include working in a dynamic environment with opportunities for growth, shaping the global aviation industry, and participating in exciting projects. Job Description: We’re an innovative Graz-based Aviation IT company, established in 2018. At Aeroficial Intelligence, we’ve developed the Cockpit Suite cloud platform, delivering cutting-edge analytics solutions for airports and air traffic control. As a Full Stack Developer, you’ll play a crucial role in designing, developing, and deploying scalable software solutions. Working closely with our cross-functional teams, you’ll create exceptional user experiences, build robust back-end systems, and contribute to the success of the Cockpit Suite. If you thrive in a collaborative, fast-paced environment and love cutting-edge technologies, this opportunity is for you. Join our team and be part of our exciting journey! Tasks Develop analytics tools and innovative web applications for data visualization and analysis Collaborate with data engineers on developing data pipelines and independently work on new microservices for analytics tools Drive your own ideas for code and process improvements Work agilely in a scrum team, benefiting from feedback through pair-programming and code reviews Requirements Passionate about clean code, simplicity and pragmatism Solid programming experience in JavaScript/TypeScript and Java/Kotlin Ideally, experience with cloud technologies (Google Cloud Platform) and working in a CI/CD environment Understanding of modern software architecture concepts and interest in software design Beneficial experience with Angular, Vert.x, Elasticsearch or Kubernetes Methodical and structured approach, conceptual thinking, team spirit and open communication with a quick grasp of complex tasks Benefits Work in a dynamic, entrepreneurial environment with a direct impact on company success Shape the global aviation industry Exciting projects with global impact, free from routine tasks Dynamic environment with flat hierarchies and opportunities for further education Collaborative and inclusive company culture fostering creativity, innovation, and personal growth Take responsibility and make independent decisions Regular team-building activities and social events to celebrate success Attractive city center office in a central location
“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.
