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# DEV OPS Engineer C

- **Company:** Coöperatieve Rabobank U.A.
- **Location:** Utrecht, Netherlands
- **Experience:** Experienced
- **Salary:** €9,036.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Automated Storage and Retrieval Systems, Microsoft Azure, Big Data, Continuous Integration, DevOps, Distributed Systems, Python (Programming Language), Machine Learning, Language Modeling, Performance Tuning, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, AI Platforms, Information Technology, Machine Learning Operations, Data Pipelines
- **Published:** October 26, 2026
- **Apply:** https://www.nationalevacaturebank.nl/vacature/ab5542b6-2234-4c07-b9cb-e70f6549b57c/dev-ops-engineer-c

## About the Role

+ A master's degree or equivalent academic level in Data Science, Artificial Intelligence, Computer Science, Mathematics, Statistics or a related field.
 + At least three years of relevant experience in machine learning, applied AI or data science.
 + Demonstrable experience improving production-grade RAG systems or advanced retrieval-based AI solutions.
 + Experience designing evaluation methodologies and quality metrics.
 + A strong track record of turning analysis into automated production solutions.
 + Experience working with large datasets and complex distributed environments.
 + The ability to communicate findings and recommendations to technical and non-technical stakeholders.
 + Proficiency in written and spoken English.
 + A curious, analytical approach and a focus on taking ownership of measurable outcomes.
Technical skills

 + Retrieval-Augmented Generation (RAG) and large language models (LLMs)
 + Python and
 + Evaluation frameworks for generative AI systems
 + Embedding models and prompt optimization
 + Data pipelines and workflow automation
 + CI/CD practices and Azure
Nice to have

 + Experience fine-tuning language models.
 + Experience with ranking and retrieval systems.
 + Experience with AI observability and monitoring.
 + Experience working with large-scale production AI platforms.
 + Knowledge of synthetic evaluation datasets and benchmark creation.
Eisen

 + Master's degree or equivalent academic level in Data Science, Artificial
Intelligence, Computer Science, Mathematics, Statistics or a related field

 + At least 3 years of relevant experience in machine learning, applied AI or
data science

 + Demonstrable experience improving production-grade RAG systems or advanced
retrieval-based AI solutions

 + Experience designing evaluation methodologies and quality metrics
 + Strong track record of converting analyses into automated production
solutions

 + Experience working with large datasets and complex distributed
environments

 + Ability to communicate findings and recommendations to both technical and
non-technical stakeholders

 + Proficiency in English, both written and spoken
Wensen

 + Experience with fine-tuning language models
 + Experience with ranking and retrieval systems
 + Experience with AI observability and monitoring
 + Experience working with large-scale production AI platforms
 + Knowledge of synthetic evaluation datasets and benchmark creation
Competenties

 + Retrieval-Augmented Generation (RAG)
 + Large Language Models (LLMs)
 + Python
 + Evaluation frameworks for GenAI systems
 + Embedding models
 + Prompt optimization
 + Data pipelines and workflow automation
 + CI/CD practices
 + Azure
 + You are naturally curious
 + You are analytical
 + You are passionate about improving complex systems
Vul je gegevens hieronder in, dan nemen we binnen 2 uur contact met je op om samen te kijken of er een match is. Bel ons op of stuur een e-mail naarWe helpen je graag verder!