Integration Specialist/Developer (Data Science & AI)
Role description
What are my duties?
- Technically manage and configure the Azure 'Data Science & AI' environment
- Collaborate with other integration specialists within the data domain
- Identifying improvement opportunities and translating them into concrete plans
- Monitoring, developing and setting up deployment pipelines
- Advising on the entire chain, component scaling, security, communication around dependencies, roles & rights, authorization & authentication, change management process.
Required skills
- Azure DevOps (preferably in combination with MLOps)
- Container Apps
- Azure Landing Zone Framework
- Azure Artifacts
- Powershell
- Docker
- Authorization & authentication mechanisms
- Affinity with Data Science
- Python knowledge
- Microservice architecture (API Management Service)
- Vnets / subnets / routing
- Databases (Nosql/sql)
- Microsoft stack Visual Studio (code)/GIT/CICD
In addition, we ask
- 2+ years of experience in similar role
- A relevant (technical) education at HBO/WO level
- Experience or affinity with an Agile working method (Scrum or DevOps)
- Experience with Secure Software Development
- Possession of the following certificates is an advantage:
- (we expect in any case the willingness to concretize your current practical knowledge on these subjects by your intention to obtain these certificates)
- MS-AZ900 (Microsoft Azure Fundamentals);
- MS-AZ400 (Microsoft Azure DevOps Engineer);
- MS-AZ204 (Developing Solutions for Microsoft Azure).
- A good command of the Dutch and English language, spoken and written
- Knowledge of customer processes in financial services is an advantage.