At Wypoon Technologies, we are looking for an experienced Data Scientist with a strong focus on Generative AI to join an innovative AI team within a leading financial services organization in the Netherlands.
In this role, you will design, develop, and deploy advanced GenAI solutions that solve complex business challenges and deliver real value. You will work at the intersection of Data Science, Generative AI, and Software Engineering, building scalable, reliable, and responsible AI applications.
You will collaborate closely with engineers, product teams, and business stakeholders to accelerate GenAI adoption across different business domains
Design, develop, test, deploy, and maintain scalable, production-ready Generative AI solutions.
Build AI-powered applications using Large Language Models (LLMs), NLP, and modern GenAI technologies.
Develop reusable GenAI components and solutions that can be applied across multiple business domains.
Take ownership of the full AI development lifecycle, from identifying business needs to production deployment and monitoring.
Implement LLMOps/MLOps practices to ensure reliability, scalability, and continuous improvement.
Collaborate with cross-functional teams and stakeholders to translate business challenges into practical AI solutions.
Contribute to automation, technical best practices, and knowledge sharing within the team.
At least 4 years of experience as a Data Scientist, AI Engineer, Machine Learning Engineer, or in a similar role.
Strong Python programming skills, with the ability to write clean, reusable, maintainable, and testable code.
Solid understanding of NLP, Large Language Models (LLMs), and Generative AI, preferably with hands-on experience building GenAI applications.
Proven experience developing, evaluating, deploying, and monitoring AI/ML models in production environments.
Experience with LLMOps, MLOps, DevOps, and cloud-based AI solutions.
Strong engineering skills, including Git, CI/CD, API development and integration, containerization, and ETL processes.
Experience with cloud platforms such as Azure or similar environments.
Familiarity with relational and vector databases.
Strong problem-solving skills and the ability to translate business requirements into effective technical solutions.
Excellent communication skills and experience working in cross-functional teams.
Experience leading technical initiatives, mentoring colleagues, or sharing engineering best practices.
Lead generative AI research and delivery, identifying valuable use cases, prototyping and evaluating solutions, and building production-ready models optimized for scale in collaboration with product and ML engineering teams.
Lead high-impact AI projects by defining data science approaches, shaping robust software architecture, mentoring colleagues, and ensuring rigorous delivery while building strong client relationships.
Use customer, billing, and API data to explain usage and revenue across cloud providers, identify growth opportunities, guide investment decisions, and own consumption forecasts.
Desenvolve e opera modelos de machine learning, deep learning e estatística para dados do mercado financeiro, além de levar soluções com LLMs à produção e garantir a qualidade dos dados em AWS e Databricks.
Lidera o desenvolvimento, a implementação e o monitoramento de modelos analíticos complexos, transformando dados em insights para apoiar decisões estratégicas e melhorar a eficiência operacional.
