This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal ML Ops Engineer based in Spain.

This is a highly technical leadership opportunity to build and scale the infrastructure powering next-generation AI applications.
The role focuses on designing reliable, efficient, and production-grade machine learning platforms capable of supporting large-scale AI workloads.
You will take ownership of model serving systems, GPU-powered infrastructure, deployment pipelines, and operational excellence.
Working closely with infrastructure, platform, and AI teams, you will help shape the foundations of a modern AI-native cloud ecosystem.
This position offers the chance to solve complex distributed systems challenges while improving performance, scalability, and cost efficiency.
You will play a key role in defining engineering standards and building critical ML infrastructure from the ground up.

Accountabilities:
- Design, build,



and operate production-grade ML inference infrastructure using modern model serving frameworks such as vLLM, TGI, Triton, or equivalent solutions.
- Develop scalable deployment pipelines supporting reliable model releases through strategies such as blue/green deployments and canary rollouts.
- Build and maintain auto-scaling systems, multi-model serving architectures, and intelligent request routing mechanisms.
- Optimize GPU utilization, memory efficiency, network performance, and model artifact storage to improve system reliability and cost effectiveness.
- Implement observability solutions to monitor inference latency, throughput, GPU usage, operational health, and infrastructure costs.
- Manage model registries, CI/CD workflows, and automation processes to enable reproducible and efficient model deployments.
- Own the complete lifecycle of ML systems, from development and deployment through production operations and ongoing support.
- Establish engineering best practice

📌 Principal ML Ops Engineer (España)
🏢 Jobgether
📍 España