Data Scientist / AI Engineer

. Design, develop and implement Machine Learning models and AI solutions applied to the context of the City of Porto .

Posted 5/18/2026full-timePorto • 🇵🇹 PortugalMid-LevelSeniorWebsite

Tools & technologies

DockerNumpyPandasPostgresPythonPyTorchScikit-LearnSQL

Key responsibilities & impact

Design, develop and implement Machine Learning models and AI solutions applied to the context of the City of Porto
Prepare and transform data from multiple sources to feed models and AI systems
Develop secure, auditable AI systems that comply with ethical and regulatory principles (e.g., the AI Act)
Develop and integrate solutions based on LLMs (Large Language Models), including RAG architectures, AI agents and task automation
Deploy models to production in an on-premise environment, ensuring performance, reliability and continuous monitoring
Conduct exploratory data analysis (EDA) and extract insights to support decisions that impact the community
Ensure compliance with best practices in privacy, data protection (GDPR) and responsible handling of sensitive information
Collaborate with Engineering, Product and Projects teams to define technical and functional requirements
Document architectures, processes, models and results clearly and rigorously
Evaluate and propose new technologies, frameworks and approaches for the continuous evolution of the AI stack

What you’ll need

Bachelor's or Master's degree in Artificial Intelligence, Computer Engineering, Data Science, Mathematics, Statistics, Electrical Engineering or related fields
Proven experience in Data Science, AI/ML Engineering or similar roles
Proficiency in Python and the main open-source Data Science and ML libraries (pandas, NumPy, scikit-learn, PyTorch, Hugging Face Transformers)
Knowledge of SQL and data modeling (PostgreSQL or equivalents)
Practical experience with LLMs, both open-source (Llama, Mistral, Qwen, etc.) and via API (OpenAI, Anthropic), including frameworks (LangChain, LlamaIndex) and local inference tools (Ollama, LiteLLM)
Experience with projects involving multilingual data (PT/EN) or normalization across heterogeneous sources
Familiarity with containerization tools (Docker) and Git
Good command of English (written and spoken)

Comp & perks

ATS Keywords

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Hard Skills & Tools

Machine LearningAI solutionsdata transformationexploratory data analysisPythonpandasNumPyscikit-learnPyTorchSQL

Soft Skills

collaborationcommunicationdocumentationproblem-solvinganalytical thinking

Certifications

Bachelor's degreeMaster's degree