Junior NLP Engineer

Description

Job Summary: You will join a young and dynamic team with extensive experience in language technology projects for the digitalization of Galicia's industry. Key Highlights: 1. You will investigate new model architectures and AI learning paradigms. 2. You will design language technology solutions applying AI agents. 3. Continuous training on the latest NLP technologies. **About Gradiant** At **Gradiant**, a leading technological center in Galicia, we develop deep-tech solutions that combine artificial intelligence, cybersecurity, and advanced communications (5G/6G, satellite, aerospace systems, etc.). For over 15 years, we have been transforming knowledge into real innovation for companies, leading the full R\+D\+i cycle up to technological transfer. Our team consists of professionals passionate about technology, social impact, and excellence. If you seek a dynamic environment with real impact on the business ecosystem and a horizontal work culture, keep reading! **About the Technology Area** Language technology solutions are being widely adopted across industries, enabling—among other things—automated data search and verification, machine translation, content generation, and human language understanding. You will join the Intelligent Systems Area, where you will integrate into a young and dynamic team with extensive experience in projects leveraging these technologies, and with the clearly defined mission of becoming the main driver of Galicia’s industrial digitalization and a benchmark in modernizing processes through innovative technologies. **Your Responsibilities** Day-to-day tasks include: * Investigating **new model architectures and learning paradigms** to make AI more efficient. * Designing **language technology solutions**, applying **AI agents** in sectors of high strategic interest. * Developing and integrating software into real-world systems. * Training on the most recent technologies applied to natural language processing. * Supporting the team in development and data science tasks. **What We’re Looking For** * Proven experience developing with Python. * Experience with GIT and code review procedures. * Strong attention to detail and a proactive mindset for solving real-world problems. * Experience applying Machine Learning and Deep Learning techniques to natural language processing. * Passionate about emerging technologies and problem-solving—and, of course, willing to contribute new ideas. * Ability to work collaboratively in a team. * Bachelor’s or Master’s degree in Telecommunications, Computer Science, or related fields. We seek a candidate eager to learn and acquire new competencies in data analysis and machine learning techniques, and who is passionate about building high-quality software (unit testing, refactoring, etc.) **What We Offer** Salary: Starting from €23,000 gross annual base salary \+ variable component based on your knowledge, experience, and motivation! 23 vacation days \+ your birthday \+ December 24 and 31. \#TroulaDays What is this? At Gradiant, you can choose one free Friday per month to disconnect and enjoy a longer weekend. Full flexibility: remote work, hybrid model, or office—you decide. Annual training budget and access to technical training, soft skills development, and English classes. We provide all necessary equipment for comfortable working. Welcome Pack and flexible compensation: meal vouchers, transportation, childcare, health insurance, etc. Collaborative, inclusive, and horizontal culture. Coffee, fresh fruit, and great moments if you choose to come to the office. Internal continuous training: share and learn with your colleagues. **Commitment to Diversity** We value all applications without distinction and will give special consideration to candidates holding a **disability certificate of 33% or higher**, in compliance with the LGD. **Are You Interested?** If you are passionate about data, technological infrastructure, working with brilliant teams, and want to leave your mark on European technological innovation, **Gradiant is the place for you**. Send us your CV and tell us why you’d like to join our team.