Data Scientist – ML Engineer

Are you a Data Scientist passionate about building cutting-edge AI/ML solutions? Do you thrive on solving complex problems and pushing the boundaries of what's possible with AI? If yes, we want you on our dynamic and innovative team! With over 3 years of hands-on experience, you'll lead the way in developing and optimizing state-of-the-art AI algorithms, including Generative AI models.

Why You’ll Love This Role:

• Work at the forefront of AI and machine learning innovation in a big European financial group.

• Collaborate with experts in data science, AI, and product development.

• Build impactful solutions that solve real-world challenges.

What You’ll Do:

• Design & Deploy: Create machine learning models and tailored AI solutions.

• Innovate: Fine-tune and extend Large Language Models (LLMs) including open-source and commercial models.

• Optimize: Implement Retrieval-Augmented Generation (RAG) techniques for enhanced model efficiency.

• Analyze: Perform exploratory data analysis and feature engineering to unlock better model performance.

• Build Generative AI: Develop cutting-edge models for content creation, process automation, and innovation.

• Apply Traditional ML: Utilize decision trees, SVMs, neural networks, and more to solve diverse problems.

• Collaborate: Work alongside data engineers, product managers, and stakeholders.

• Quality Assurance: Ensure high-quality AI solutions through rigorous testing and validation.

• Document & Share: Maintain technical documentation for knowledge sharing and reproducibility.

Your Must-Have Skills:

• 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, 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.

• Willingness to learn French.

Nice-to-Have Skills:

• Knowledge of reinforcement learning from human feedback (RLHF).

• Familiarity with prompt engineering.

• Understanding of ethical AI principles and model interpretability.

• Fluency in French is a plus.

Other Details:

This position is hybrid 2x in Parque das Nações/Lisbon.