AI Platform Engineer: Scale GPU Jobs & Reproducible ML

Reply; Torino; On-site; EUR 50,000 - 75,000; Full time

Job summary

Reply in Torino, Italy is seeking an AI Platform Engineer to own and scale the core Model Factory platform. You will orchestrate GPU workloads, ensure reproducibility of experiments, and drive governance across data, models and evaluation runs.

Join a team mentoring researchers and engineers, work with Kubernetes, SkyPilot, Dagster, NVIDIA NeMo, and Unity Catalog, and contribute to cost attribution and multi- tenancy from day one.

Qualifications

• Degree in Computer Engineering, Computer Science or related field; fundamentals in distributed systems.
• 3-8 years of professional experience; strong Python and infrastructure as code; scalable ML platforms experience.
• Pragmatic, ownership-driven with clear written communication and automation bias.
• Nice to have SkyPilot, Dagster or NVIDIA NeMo; HPC schedulers; Unity Catalog; on-prem AI environments.

Responsibilities

• Maintain and scale the Model Factory platform core and orchestrate GPU workloads.
• Implement versioning and governance for data, models and evaluation runs.
• Collaborate with AI researchers, model design engineers, project managers, cloud and security specialists.

Skills

Kubernetes

Python

Infrastructure as code

Distributed training

ML platforms at scale

Education

Degree in Computer Engineering or Computer Science

Tools

SkyPilot

Dagster

NVIDIA NeMo

Unity Catalog

GitOps CI/CD

Job description

Reply in Torino, Italy is seeking an AI Platform Engineer to own and scale the core Model Factory platform. You will orchestrate GPU workloads, ensure reproducibility of experiments, and drive governance across data, models and evaluation runs.

Join a team mentoring researchers and engineers, work with Kubernetes, SkyPilot, Dagster, NVIDIA NeMo, and Unity Catalog, and contribute to cost attribution and multi- tenancy from day one.