Senior Data Scientist

About MoOngyFounded in 2005, MoOngy is an international group specialized in Engineering and IT, operating across Europe and North Africa.With a presence in 14 countries, more than 40 entities, and 9,500 talents, we continue to grow everyday thanks to one simple thing: people who are genuinely passionate about technology and innovation.The Role: Data Scientist📍 Location: Lisbon🏢🏠 Work Model: hybrid - 2/3 days a week in the office💰🏦 Sector: Financial Services🗣️ Languages: English (C1)✅ Eligibility: Currently living in Portugal and be legally authorized to work there🧑 Mandatory Requirements (Non‑Negotiable)3+ years of hands-on experience in Machine Learning and AI development, agentic solutions;Open-source and commercial LLMs, RAG, vector databases;Python, TensorFlow, PyTorch, Hugging Face;NLP, decision trees, SVMs, clustering, neural networks;Cloud platforms (GCP, AWS or Azure), MLOps practices and tools.Nice to have:RLHF, Generative AI (model training, fine-tuning and deployment);Ethical AI principles, model interpretability, French.Responsibilities:Create and deploy ML models and AI solutions, fine-tune and extend LLMs, implement RAG;Develop and deploy agentic AI solutions, work with Agent Harness, MCP servers, A2A and ACP;Perform exploratory data analysis and feature engineering, ensure testing and validation, collaborate with stakeholders and maintain technical documentation.Why Join Us?🌍 Innovation & Impact: Play a central role in driving the future through creative solutions🚀 Challenging projects: Modern environments, real impact, zero boredom.📚 Continuous learning: Trainings, certifications, and structured career growth.🤝 Team spirit: An international community where collaboration means something.🌈 Diversity & inclusion: At MoOngy, everyone belongs — no fine print.Diversity & InclusionAt MoOngy Group, we are committed to equality and diversity. We foster a safe, inclusive, and respectful environment where everyone has equal opportunities. We do not discriminate based on age, origin, gender, sexual orientation, disability, or any criterion unrelated to skills and merit.