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AI/ML Engineer – Azure Platform Modernization

Kyndryl Professional

🌍 Europe 🏠 Remote ⏱ Part-time 💼 Mid-level 🗓 5 weeks ago

Who We Are At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive. The Role As part of a large-scale platform modernization journey, the organization is strengthening its AI and Machine Learning capabilities to deliver intelligent, secure, and scalable digital solutions on Microsoft Azure. This transformation focuses on embedding enterprise-grade AI capabilities within the platform engineering landscape—enabling automation, improving data security, and accelerating outcomes through responsible AI adoption. To support this initiative, we are seeking an experienced AI/ML Engineer. This role will be pivotal in designing, building, and operationalizing a central AI Platform and its supporting capabilities, including AI SDK development, data masking, PII detection, and document intelligence. The engineer will integrate Azure AI services with modern DevOps practices to ensure performance, reliability, and compliance with enterprise governance standards. Among your key responsibilities you will find: 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 ...

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