Hands-on AI Infra Architect | GPU & MLOps Pioneer

Accenture PLC; Bazzana Inferiore; Presencial; EUR 32.000 - 65.000; Jornada completa

Descripción de la vacante

Accenture PLC is seeking an hands-on Infrastructure Architect to design and optimize AI/ML infrastructure across cloud and on‑prem environments, including GPU clusters and distributed training setups. You will write and review code, IaC, and deployment scripts, mentor engineers, and lead workstreams.

In this role you will implement CI/CD pipelines, model serving, AI monitoring, and security best practices while balancing performance, cost, and scalability to deliver AI-driven business outcomes.

Formación

• Practical experience in coding, building, monitoring, troubleshooting AI/ML applications and deploying them on premise or in the public cloud.
• Strong understanding of AI and machine learning concepts and of computing infrastructure.
• Proficiency in programming languages such as Python, Java, or C++.

Responsabilidades

• Write, review, and debug code, scripts, and infrastructure-as-code for AI infrastructure and tooling.
• Architect, configure, and provision compute resources across cloud and on‑prem environments, including GPU clusters.
• Design and maintain deployment automation and CI/CD pipelines for AI systems and models.
• Deploy AI systems, models, and data pipelines into production and improve processes.
• Lead container orchestration and model serving using Docker and Kubernetes.

Conocimientos

Python

Java

C++

AI/ML infra

Docker

Kubernetes

CI/CD

IaC

Airflow

Kubeflow

GPU clusters

Cloud/on-prem

Monitoring

Educación

Bachelor's Degree in CS/CE or related field

Herramientas

Docker

Kubernetes

Git

Terraform

Ansible

Descripción del empleo

Accenture PLC is seeking an hands-on Infrastructure Architect to design and optimize AI/ML infrastructure across cloud and on‑prem environments, including GPU clusters and distributed training setups. You will write and review code, IaC, and deployment scripts, mentor engineers, and lead workstreams.

In this role you will implement CI/CD pipelines, model serving, AI monitoring, and security best practices while balancing performance, cost, and scalability to deliver AI-driven business outcomes.