- Experience with Azure DevOps or comparable CI/CD tooling for developing DevOps pipelines to deploy ML models to D/T/A/P;

- Experience with orchestrating data pipelines and ML model pipelines;

- Experience with ML Ops best practices and AI products productionalisation;

- Experience with model productionasation and maintenance preferably with Azure Machine Learning;

- Experience with Data engineering tooling, preferably on Azure Databricks and Azure Data Factory;

- Python and (preferably) work experience as a data scientist;

- Bash;

- ML Flow.

 

- Experience with setting up a 'gold standard'/blueprint/way of working for ML models is a big plus

- Experience with implementing feature stores is an advantage

- Preferably experience within the banking sector

- Knowledge of Kubernetes/Docker and Airflow is an advantage