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. 👇🏻🎯

Job Overview

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

Education: Bachelors or Masters degree in Computer Science, Data Science, or a related field. A Ph.D. is a plus.
Preferred location of working: UK, Portugal , France and/or Spain
Experience: 3+ years of experience in data science, with a focus on large language models and NLP.
Technical Skills:
Strong programming skills in Python and experience with NLP libraries and models such as NLTK, spaCy, Hugging Face Transformers and GPT-3/GPT-4, LLaMA.
Proficiency in machine learning frameworks such as TensorFlow, TensorRT, PyTorch, Keras.
Experience with data pre-processing techniques.
Knowledge of deep learning architectures and techniques for NLP, including transformers, RNNs and CNNs.
Experience with training and fine tuning Large Language Models and building RAG agents.
Experience with experimentation platforms such as Jupyter Notebooks.
Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services, with a focus on Google Cloud.
Experience in deploying self-hosted LLMs.
Basic Knowledge of DevOps best practices and tools: GIT, CI/CD, telemetry and monitoring, etc.
Analytical Skills: Excellent analytical and problem-solving skills with the ability to design innovative solutions to complex problems.
AI Ethics and Bias Mitigation: Experience or awareness of AI ethics, fairness and bias mitigation strategies, in the context of NLP and LLMs.
Communication: Strong verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Language Requirements: Advanced proficiency in Portuguese and English, with proven fluency at the C2 level in both languages.
Collaboration: Ability to work effectively in a collaborative, cross-functional team environment.
Attention to Detail: High attention to detail and a commitment to ensuring the accuracy and quality of work.
Adaptability: Ability to thrive in a fast-paced, dynamic environment and manage multiple projects simultaneously.

What We Have To Offer You

An excellent work environment and an opportunity to create a real impact in the world;
A truly high-tech, state-of-the-art engineering company with flat structure and no politics;
Working with the very latest technologies in Data & AI, including Edge AI, Swarming - both within our software platforms and within our embedded on-board systems;
Flexible work arrangements;
Professional development opportunities;
Collaborative and inclusive work environment;
Salary compatible with the level of proven experience.

TEKEVER is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Do you want to know more about us ?

Visit our LinkedIn page at https://www.linkedin.com/company/tekever/