Data Scientist (LLMs)

Boost IT is a Portuguese technology consultancy, integrated in a business group that offers a portfolio of innovative solutions in the increasingly demanding and dynamic technology market.

We are known for being the most dynamic, energetic and reliable company in the market.
The management team has more than 10 years of experience delivering technological solutions in Portugal and internationally.

Our customers can count on a leading partner in services of excellence, flexibility and delivery capacity associated with high quality standards.

We are passionate about people who are passionate about technology.

Tasks

• Develop and implement machine learning models, specifically large language models (LLMs), to enhance data-driven decision-making processes.
• Collaborate with cross-functional teams to identify and prioritize business problems that can be solved through advanced analytics and AI applications.
• Analyze large datasets to extract insights and detect patterns that can inform product development and innovation strategies.
• Design and conduct experiments to evaluate the performance and effectiveness of LLMs, ensuring continuous improvement and scalability.
• Communicate complex data-driven insights and recommendations to both technical and non-technical stakeholders clearly and effectively.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
• 3+ years of hands-on experience in machine learning and AI development.
• Strong expertise in Generative AI (model training, fine-tuning, and deployment).
• Experience with open-source and commercial LLMs.
• Proficiency in implementing RAG techniques.
• Experience with vector databases.
• Advanced programming skills in Python with frameworks like TensorFlow, PyTorch, and Hugging Face.
• Deep understanding of NLP techniques and architectures.
• Practical experience with traditional AI/ML methods such as decision trees, SVMs, and neural networks. Practical experience with traditional AI/ML methods such as decision trees, SVMs, clustering and neural networks.
• Familiarity with cloud platforms (AWS, GCP, or Azure) for AI/ML deployments.
• Knowledge of MLOps practices and tools.
• Strong problem-solving and analytical skills.
• Effective communication in public and teamwork skills.
• Fluency in English (C1 level or higher) is mandatory.