Geforderte Skills
- Machine Learning
- Artificial Intelligence
- Data Science
- Retrieval-Augmented Generation (RAG)
- Large Language Models (LLMs)
- Python
- Databricks
- GenAI Evaluation Frameworks
- Embedding Models
- Prompt Optimization
- Data Pipelines
- CI/CD
- Azure
Sprachen: Dutch
Jobbeschreibung
As an AI Engineer, you will contribute to the further development of Rabobank's RAG platform, focusing on improving retrieval-augmented generation systems and translating research into measurable production improvements.
Project overview
As an AI Engineer, you will contribute to the further development of Rabobank's RAG platform.
Profile of the suited interim professional:
- Identifying areas for improvement in the retrieval-augmented generation system
- Designing experiments to increase answer quality
- Translating research results into measurable improvements in production
- Guiding the entire process from error analysis to performance monitoring
- Using user feedback and production telemetry to improve quality
- Collaborating with Software Engineers, Platform Engineers, and Data Scientists
- Analyzing quality differences in generated answers
- Improving automated evaluation frameworks
- Conducting large-scale experiments with chunking and embedding strategies
- Building feedback loops to address system weaknesses
- Master's degree or comparable academic level in Data Science, Artificial Intelligence, Computer Science, Mathematics, Statistics, or a related field
- Minimum of 3 years of relevant experience in machine learning, applied AI, or data science
- Demonstrable experience with improving production RAG systems or advanced retrieval-based AI solutions
- Experience with setting up evaluation methodologies and quality metrics
- Proven ability to translate analyses into automated production solutions
- Experience with large datasets and complex distributed environments
- Ability to communicate findings and recommendations to both technical and non-technical stakeholders
- Good command of English, both written and spoken
- Knowledge of Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs)
- Experience with Python, Databricks, and evaluation frameworks for GenAI systems
- Knowledge of embedding models, prompt optimization, and data pipelines
- Experience with CI/CD practices and Azure
Project details
- Start: flexible
- Location: Utrecht, Utrecht, Flevoland, NL
- Rate: 90-90 EUR/h
- Languages: Dutch
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