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.