Are you ready to revolutionise the world with TEKEVER?

At TEKEVER, we lead innovation in Europe as the European leader in unmanned technology, where cutting-edge advancements meet unparalleled innovation.

Digital \| Defence \| Security \| Space

We operate across four strategic areas, combining artificial intelligence, systems engineering, data science, and aerospace technology to tackle global challenges — from protecting people and critical infrastructure to exploring space.

We offer a unique surveillance-as-a-service solution that delivers real-time intelligence, enhancing maritime safety and saving lives. Our products and services support strategic and operational decisions in the most demanding environments — whether at sea, on land, in space, or in cyberspace.

Become part of a dynamic, multidisciplinary, and mission-driven team that is transforming maritime surveillance and redefining global safety standards.

At TEKEVER, our mission is to provide limitless support through mission-oriented game-changers, delivering the right information at the right time to empower critical decision-making.

If you're passionate about technology and eager to shape the future — TEKEVER is the place for you.

Mission:

As a Data Scientist specializing in LLM you will be responsible for developing, implementing and optimizing advanced algorithms, models and capabilities that help our teams (e.g. Field Operations) automate their workloads, e.g. in the context of decision support, mission planning and situational awareness. You will work on a variety of projects that involve understanding, processing and generating human language to solve complex problems and create innovative solutions. The ideal candidate will have a strong background in LLMs, machine learning and data science, with a proven track record of successful projects in these domains.

What will be your responsibilities:

• Algorithm Development: Design, develop and implement state-of-the-art algorithms and models, within the context of language models.
• Capability Development: Realize new AI-based capabilities in areas such as decision support, mission planning, workflow automation.
• Model Training and Optimization: Train and optimize large language models using vast amounts of textual data, ensuring high performance and accuracy.
• Data Pre-processing: Perform data pre-processing tasks such as tokenization, stemming, lemmatization and normalization to prepare datasets for training and evaluation.
• Research and Innovation: Stay current with the latest advancements in LLM and Natural Language Processing (NLP) and apply new techniques to improve existing models and develop new solutions.
• Collaboration: Work closely with data engineers, software developers, product managers and other stakeholders to understand project requirements and deliver effective solutions.
• Performance Evaluation: Evaluate the performance of models using appropriate metrics and techniques and iteratively improve their accuracy and efficiency.
• Deployment: Collaborate with engineering teams to deploy models into production environments and ensure their robustness and scalability.
• Documentation: Maintain comprehensive documentation of models, algorithms and processes for future reference and reproducibility.

Profile and requirements: