Data & AI Specialist

20 ago - Italia
Kyndryl

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.

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The Role

As an AI & Data Engineer, you will build and operationalize scalable data and AI solutions by translating architectural designs into production-ready systems. You will work on cloud-native platforms, modern data infrastructures, and AI-driven applications, including generative and agentic AI, supporting the full lifecycle from prototype to deployment.

You will:

- Develop and maintain data pipelines and AI-enabled services using cloud-native technologies.





- Implement and integrate machine learning and LLM-powered solutions within enterprise workflows.

- Contribute to real-time and batch data architectures (data lakes, streaming platforms, event-driven systems).

- Support MLOps practices, including model versioning, deployment, monitoring, and lifecycle management.

- Collaborate with solution architects, data scientists, and software engineers to deliver MVPs and production solutions in fast, iterative cycles.

- Build secure, scalable APIs and services for AI and data applications.

- Contribute to containerized and orchestrated deployments (Docker, Kubernetes).

- Work in agile development environments, managing pull requests, code reviews, and CI/CD pipelines.

Your Impact

You will help organizations unlock the value of their data and AI by delivering reliable, scalable, and secure solutions. xysqume Your work will enable intelligent automation, real-time insights, and AI-driven decision-making, contributing directly to business innovation and operational efficiency.

By supporting the

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