Experteer Overview
L'esperienza richiesta ai candidati, così come le competenze e le qualifiche aggiuntive necessarie per questo lavoro, sono elencate di seguito.
In this role you design and optimize AI/ML infrastructure across cloud and on?prem environments.
You will lead architecture workstreams, implement scalable compute and data pipelines, and drive production deployment of AI systems.
You partner with cross?functional teams to ensure secure, efficient, and compliant operations while advancing InfraOps and MLOps practices.
Your work supports high?impact, real?world AI applications and requires hands?on coding, deployment, and mentoring.
This is a ownership?driven opportunity to shape the AI infrastructure roadmap at scale.
Retribuzione / Benefits
Write, review, and debug code, scripts, and infrastructure?as?code for AI infrastructure and tooling; set quality standards
Architect, configure, and provision cloud and on?prem compute resources (GPU clusters, distributed training) for performance and utilization
Design and maintain deployment automation and CI/CD pipelines for reliable releases of AI systems
Deploy AI systems, models, and data pipelines into production and codify best practices
Lead container orchestration and model serving using Docker, Kubernetes, and deployment frameworks




Architect and optimize the computational stack for performance, power, cost, and scalability
Evaluate and select tools and platforms to shape the infrastructure roadmap
Integrate AI models into enterprise systems ensuring interoperability, security, and compliance
Own AI monitoring and infra health across InfraOps and MLOps, drive remediation
Troubleshoot complex issues across hardware, networking, software, and models and perform root?cause analysis
Mentor junior engineers and lead code reviews; define architecture standards, processes, and cost?efficient practices
Responsabilità
Practical experience in coding, building, xlwpduy monitoring, and troubleshooting AI/ML applications and deploying/running them on premises or in public cloud
Strong understanding of AI/ML concepts
Strong understanding of computing infrastructure; preferred AI infra knowledge
Proficiency in Python, Java, or C++
Experience with data pipeline/workflow tools (e.g., Apache Airflow, Kubeflow)
Strong problem?solving skills and fast pace
Excellent communication and collaboration
Proven experience in AI/ML infra engineering or related roles on a hyperscaler platform for deploying large scale solutions
#J-*****-Ljbffr

📌 Ai Infrastructure Architect (Bardi)
🏢 Experteer Italy
📍 Bardi