Data Scientist – ML Engineer
emagine · Lisbon, Portugal ·
- Work mode
- Hybrid
- Seniority
- Middle
- Employment
- Contract
- Category
- Data science
- Experience
- 3+ years
emagine · Lisbon, Portugal ·
inetum2 · Lisbon, Lisbon, pt
quilter · London
Royal Bank of Canada · TORONTO, Ontario, Canada
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Data Scientist / ML Engineer at emagine building AI/ML solutions for a big European financial group: designing and deploying ML models, fine-tuning open-source and commercial LLMs, implementing RAG and generative AI, plus traditional ML (decision trees, SVMs, neural networks) on cloud platforms. Hybrid role, 2 days per week onsite in Parque das Nações, Lisbon.
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.
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