AI Infra Architect: GPU Compute & MLOps Lead

Accenture Italia; Milano; Presencial; EUR 36 000 - 65 800; Tempo integral

Resumo da oferta

Accenture Italia is seeking a hands-on Infrastructure Architect to design and optimize AI and ML infrastructure powering real-world applications. You will write code, configure cloud and on‑prem resources, and lead deployment automation for AI systems.

You will mentor engineers and drive architectural best practices across InfraOps and MLOps. The role emphasizes delivering scalable, cost-conscious infrastructure with strong emphasis on security and regulatory compliance.

Qualificações

• Proven coding, building, monitoring and troubleshooting AI/ML applications deployed on premises or public cloud.
• Strong understanding of AI and machine learning infrastructure.
• Experience with infrastructure for deploying and running AI models at scale.
• Proficiency in Python, Java, or C++.
• Experience with data pipeline/workflow tools such as Airflow or Kubeflow.
• Excellent communication and collaboration skills in fast-paced environments.
• Proven experience in AI/ML infra on hyperscaler platforms.

Responsabilidades

• Write, review, and debug code, scripts, and infrastructure-as-code for AI infrastructure and tooling.
• Provision compute resources across cloud and on-premises, including GPU clusters.
• Design and maintain CI/CD pipelines for reliable production releases of AI systems.
• Deploy AI models and data pipelines into production and improve processes.

Conhecimentos

Python

Java

C++

Formação académica

Bachelor's Degree in Computer Science, Computer Engineering, or related engineering field

Ferramentas

Docker

Kubernetes

Apache Airflow

Kubeflow

Descrição da oferta de emprego

Accenture Italia is seeking a hands-on Infrastructure Architect to design and optimize AI and ML infrastructure powering real-world applications. You will write code, configure cloud and on‑prem resources, and lead deployment automation for AI systems.

You will mentor engineers and drive architectural best practices across InfraOps and MLOps. The role emphasizes delivering scalable, cost-conscious infrastructure with strong emphasis on security and regulatory compliance.