Remote ML Ops Engineer: GPU Cloud Infrastructure

Pragmatike; Lisboa; Presencial; EUR 50 000 - 70 000; Tempo integral

Resumo da oferta

Pragmatike is looking for an experienced ML Ops Engineer to build and operate production-grade model serving infrastructure for a fast-scaling cloud startup in Lisbon. You will design deployment pipelines, optimize GPU utilization, and manage the full lifecycle of ML systems. Ideal candidates should have 4+ years in ML Ops, hands-on experience with model serving frameworks, and a strong understanding of distributed systems. Join us for a fair and inclusive recruitment process and influence core engineering decisions.

Qualificações

• 4+ years in ML Ops or similar roles focused on ML systems.
• Hands-on experience with model serving frameworks.
• Strong background in operating GPU-based workloads.

Responsabilidades

• Build and operate production-grade model serving infrastructure.
• Design robust deployment pipelines for ML models.
• Optimize GPU utilization and memory efficiency.

Conhecimentos

ML Ops

Platform Engineering

Container orchestration

Python

Distributed systems

Ferramentas

Terraform

Triton

Kubeflow

Descrição da oferta de emprego

Pragmatike is looking for an experienced ML Ops Engineer to build and operate production-grade model serving infrastructure for a fast-scaling cloud startup in Lisbon. You will design deployment pipelines, optimize GPU utilization, and manage the full lifecycle of ML systems. Ideal candidates should have 4+ years in ML Ops, hands-on experience with model serving frameworks, and a strong understanding of distributed systems. Join us for a fair and inclusive recruitment process and influence core engineering decisions.