Data Scientist – ML Engineer

(Hybrid)

Data Scientist – ML Engineer

O Grupo Timestamp agrega diversas empresas portuguesas líderes em soluções e serviços de TI em torno dos conceitos de excelência e partilha de conhecimento. Apostamos na liderança tecnológica, assente na qualidade do nosso serviço e soluções tecnológicas, suportadas na formação e certificação contínuas.

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, 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.

  • 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.

Beneficios para os colaboradores:

  • Seguro de saúde

  • Flexibilidade na rotina organizacional

  • Formação e certificações

  • Programa de Apoio ao Colaborador (em 5 áreas, incluindo psicologia)

  • Ofertas de Aniversário e Antiguidade

  • Happy Hour mensal

  • Portal de Benefícios com ofertas atrativas

Junta-te a nós para desafiarmos a complexidade com Inteligência!

Somos uma entidade empregadora que promove a igualdade de oportunidades e acolhemos candidaturas de todas as pessoas qualificadas, independentemente da sua raça, origem étnica, religião, sexo, orientação sexual, deficiência, idade ou outro estatuto protegido por lei.

Para mais informações sobre o nosso Compromisso para a Diversidade, Igualdade e Inclusão (DEI)

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