Senior Machine Learning Ops Engineer

Language : English and Dutch mandatory ZZP Allowed : No Description Vacancy: Senior Machine Learning Ops Engineer Senior Machine Learning Ops Engineer Imagine... That all Rabobank customers in the Business Lending domain benefit from the service processes that you helped realize. Within one of the largest Tribes of Rabobank group, with no fewer than 650 colleagues, you will get the opportunity to shape how our data science squad will be using the model factory and other GDAP platforms by working both with data scientists, architects and engineers. Are you up for it? Create impact You are eager to help others be successful and always think a few steps ahead. You love to challenge the status quo and are eager to come up with and propose creative solutions to problems in a rapidly changing and complex environment. With your background, you can easily connect the dots and help to continuously improve our strategy. As a senior MLOps engineer, you will be working with the Model Factory team (platform team) as well as the Data science team. You will own the end-to-end deployment lifecycle for AI services. From CI/CD pipelines and containerized deployments to observability and environment management (DEV/UAT/PROD). You act as the technical bridge between our data scientist within the team and the platform team, ensuring our GenAI/Agentic workloads run reliably in Production. You will design and maintain parts of the infrastructure for LLM-based and agentic AI applications, including container orchestration, API serving layers and integration with Azure AI Services. Being proactive to brainstorm and having design sessions within the team and platform team. With each other Collaboration is at the heart of everything we do. With a growing team of ~20 people including data scientists, AI engineers, business analysts and business experts you shape the way we do business within the Tribe. As a team, we are looking to leverage Agentic AI to simplify and automate manual work undertaken by our customer facing colleagues. With you You will be responsible for ensuring the platforms and pipelines are operational and meet the requirements to support putting our agents into production. Experience with Generative AI and preferably Agentic AI Experience aliging with stakeholders and supporting platform teams Experience with orchestrating data pipelines and ML model pipelines Experience with ML Ops best practices and AI products productionalisation Python and Bash, and working experience with data science teams.

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