Senior AI Data Scientist

act digital; Portugal; On-site; EUR 60,000 - 90,000; Full time

Job summary

act digital in Lisbon is seeking a Senior Data Scientist to lead the development of state-of-the-art AI systems, combining traditional machine learning with advanced LLM architectures and agentic frameworks.

You will architect end-to-end ML pipelines, scale Generative AI and Retrieval-Augmented Generation (RAG) with vector databases, and design agentic solutions while collaborating with data engineering and product teams to embed MLOps, testing, and thorough documentation.

Qualifications

• 3+ years of hands-on development/production ML/AI experience.
• Experience with LLMs, RAG techniques, and vector databases.
• Advanced Python with DL frameworks (PyTorch, TensorFlow) and NLP models.

Responsibilities

• Architect and deploy end-to-end AI systems for financial use cases.
• Scale Generative AI, RAG pipelines, and agentic workflows.
• Design agentic frameworks (memory, state, storage) and MCP/gateway services.
• Collaborate with data engineering and product teams to embed MLOps, testing, and documentation.

Skills

Python programming

LLMs

RAG

Vector databases

Cloud platforms

English proficiency

Tools

PyTorch

TensorFlow

Hugging Face

Job description

Are you a Data Scientist driven by pushing the boundaries of Artificial Intelligence? Ready to design, optimize, and deploy cutting-edge AI algorithms, Generative AI models, and autonomous agentic workflows within a leading European financial group?

At act digital, we are looking for a Senior Data Scientist to lead the development of state-of-the-art AI systems, combining classic machine learning with advanced LLM architectures and Agentic frameworks.

What you will do:

• Architect & Deploy AI Systems: Build end-to-end machine learning pipelines and tailored AI solutions for complex financial challenges.
• Scale Generative AI & RAG: Fine-tune open-source and commercial Large Language Models (LLMs) and implement Retrieval-Augmented Generation (RAG) pipelines paired with vector databases.
• Engineer Agentic Frameworks: Design advanced agentic solutions leveraging Agent Harness architectures (memory, state management, storage, file systems), Model Context Protocol (MCP) servers/gateways, and Agent-to-Agent (A2A / ACP) communication protocols.
• Leverage Core & Traditional ML: Apply classic machine learning algorithms (decision trees, SVMs, clustering, neural networks) alongside modern deep learning models.
• Drive Operational Excellence: Collaborate with cross-functional data engineering and product teams to integrate MLOps best practices, continuous testing, and thorough documentation.

What we are looking for:

• Experience: 3+ years of hands-on expertise building, optimizing, and deploying production ML/AI models.
• Generative AI & Agentic Skills: Proven experience developing agentic workflows, working with LLMs, RAG techniques, and vector databases.
• Technical Stack: Advanced Python programming with deep learning frameworks (PyTorch, TensorFlow, Hugging Face) and modern NLP architectures.
• Cloud & MLOps: Practical experience deploying AI/ML workloads on Cloud platforms (AWS, GCP, or Azure) and working with MLOps practices.
• Languages: Fluent in English (C1 level minimum); willingness to learn French.

Nice to Have: Background in RLHF (Reinforcement Learning from Human Feedback), full-cycle GenAI model alignment, ethical AI/interpretability, or professional proficiency in French.

What we offer:

• Direct involvement with high-impact AI/ML innovation initiatives in a major European financial ecosystem.
• Dynamic collaboration alongside domain experts in data science, AI engineering, and product strategy.

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