Role overview
*INTERIM OPDRACHT
4 UUR GELEDEN
What you'll work on
The AI/ML Engineer will be responsible for:
- Designing and assessing serverless compute architectures for AI workloads.
- Implementing scalable Azure Databricks Serverless environments.
- Developing and maintaining CI/CD pipelines in Azure DevOps for AI and Databricks workloads.
- Ensuring reliability, observability, monitoring, and optimization of Databricks and serverless services.
- Collaborating closely with Data Science, Cloud Engineering, and DevOps teams as an independent expert—providing consultancy, technical alignment, and best practices for operationalizing AI models efficiently.
What we're looking for
- Proven experience designing and deploying AI/ML and data engineering solutions on Azure.
- Deep understanding of Azure Databricks architecture, including serverless compute capabilities.
- Hands-on experience with serverless technologies such as Azure Functions, Event Grid, and Logic Apps.
- Proficiency in Python, PySpark, and SQL for data engineering and model integration.
- Strong knowledge of CI/CD, MLOps, and Infrastructure-as-Code using Azure DevOps and Terraform.
- Solid understanding of cloud cost management, scaling strategies, and workload optimization.
- Familiarity with enterprise security, data protection, and compliance requirements for AI workloads.
- Ability to design and implement observability, monitoring, and alerting for Databricks Serverless environments.
Solliciteer voor 3 maart
Wat voor sollicitatie betreft het?
Selecteer hieronder vanuit welke rol je wilt reageren op deze vacature. Deze stap helpt ons om je profiel volgens het juiste proces te verwerken.
Solliciteer als freelancer
Profiel aanbieden als leverancier
Meld je aan voor een job-alert
Amsterdam
Senior
40 uur per week
Startdatum op 16 maart
Vragen?
Contact Jef
+31639816528