Senior AI Data Scientist
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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.
#DataScience #MachineLearning #GenerativeAI #AgenticAI #LLM #RAG #MCP #PyTorch #HuggingFace #MLOps #actdigital #ITRecruitment #LisbonJobs
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