3 days ago

AI Platform Engineer

Kyndryl

North Holland

3 days ago

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Kyndryl is seeking an experienced AI/ML Engineer to design, build, and operationalize a central AI Platform on Microsoft Azure as part of a large-scale platform modernization. The role involves serverless compute architectures, Azure Databricks, CI/CD pipelines, and integrating Azure AI services with modern DevOps practices to ensure performance, reliability, and compliance.

Core AIHybridFull-timeEntry LevelAzureAzure Databricks

AI Platform Engineer

Apply

Core AIHybridFull-timeEntry LevelAzure

Salary

Not specified

Work Location

North Holland, Netherlands, NL

Work Model

Hybrid

Employment Type

Full-time

Experience Level

Not Applicable

Core Qualifications

Technical (Must-have)

AzureAzure DatabricksAzure FunctionsEvent GridLogic AppsPythonPySparkSQLCI/CDMLOpsInfrastructure-as-CodeAzure DevOpsTerraformMistral AILarge Language Models

Soft Skills

CollaborationConsultancyTechnical alignment

Key Responsibilities

•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.

AIMachine LearningAzureDatabricksPlatform EngineeringMLOpsServerlessIT ServicesFull-timeHybrid

Key Responsibilities

•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.