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Senior Machine Learning, AI Engineer

Sobre el puesto

• Build predictive models for lead generation, demand forecasting, residual value forecasting, portfolio steering, and fraud detection
• Redesign customer service and other workflows using RAG and agent-based generative AI solutions
• Integrate AI solutions securely into company systems
• Evaluate generative AI output quality
• Build and operate ML pipelines on AWS and Snowflake
• Monitor model performance, drift, and cost; determine when models require retraining or retirement
• Translate business needs into measurable use cases with stakeholders and the data engineering team
• Own delivery end to end
• Evaluate new models and frameworks
• Establish shared standards and tooling
• Mentor junior colleagues as the AI team grows
• Address responsible AI concerns including data privacy, bias, and explainability

• 5+ years in Data Science, Machine Learning, or AI Engineering
• At least one solution taken into production and operated there
• Strong in either predictive ML or LLM applications, with hands-on experience in the other
• Very good Python and SQL
• Experience with ML frameworks such as scikit-learn or PyTorch
• Sound experiment design and model evaluation
• Experience deploying and operating ML solutions on AWS, including tools such as SageMaker, MLflow, Docker, and CI/CD
• Experience with Snowflake or a comparable data platform
• Practical experience with RAG, tool calling, and agentic workflows
• Experience evaluating LLM output quality
• Daily use of AI coding tools such as Claude Code or GitHub Copilot
• Ability to make and defend design decisions
• Ability to guide other engineers and explain trade-offs to non-technical colleagues
• Fluent English
• Conversational German or Dutch is a nice-to-have
• Experience with process redesign, leasing, subscription, or other asset-based businesses is a nice-to-have

• Bike lease and bike purchase subsidy
• Home office equipment
• Learning budget
• Conference days
• 100% remote work from anywhere in the EU
• Regular team meetings in one of the operating countries