Job description

To automate, speed up and enable Machine Learning and Advanced Analytics capabilities across the bank. Client
has 16 DS teams and central MLE team to deliver value out of petabytes of data. You will be building, upgrading
and maintaining a Central Advanced Analytics Platform in Azure with latest tools, best practices and possible

Relevant knowledge, skills, competences & desired education level
3+ years of experience in Azure Cloud Engineering
Design, implement and maintain CI/CD pipelines in Azure DevOps to set up and support the platform
Microsoft Azure Certified (Azure Data/DevOps Engineer/Expert)
Design, build and maintain Azure Platform (deep security and networking skills about resources, access
management and cost efficiency)
Skills in PowerShell and Python to automate Azure Platform deployment
Strong experience with data services stack in Azure (Data Lakes, Blob Storages, SQL resources)
Strong experience in setting up, using and maintaining Databricks (cluster management, authentication,
Experience using MLFlow and deploying MLFlow Server for ML model management
Experience of service containerization (Azure Kubernetes Services, Azure Container Registry) and monitoring
Deploying and maintaining Azure Linux and Windows VMs including networking and security rules
Understanding of Machine Learning goals, ML model lifecycle and challenges
Experience working in Scrum/Agile way of working
Be fluent in English

Locatie: Amsterdam / Opdracht: inhuur

Een intakegesprek wordt standaard ingepland alvorens het cv eventueel bij de opdrachtgever wordt
voorgesteld, bovendien zal er minimaal één referentie van je gevraagd worden. Wil je meer informatie?

Neem dan snel contact op met Marcel Christoffel via mail: of bel: 06-

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