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Global M

Artificial Intelligence Engineer

Global M
Spain · Temporary · Mid-Senior

  • Design, develop, and maintain high-performance Python APIs (Flask, FastAPI, Django) to serve AI models (VLMs/LLMs).
  • Architect and deploy production-ready cloud infrastructure optimized for AI workloads (AWS, GCP, Azure, and compute-optimized providers like Vast.ai, RunPod or Lambda Labs).
  • Automate model deployment pipelines with CI/CD practices, containerization (Docker), and orchestration (Kubernetes or alternatives).
  • Design scalable, secure, and cost-efficient architectures tailored for vision-language (VLMs) and large language (LLMs) model inference at scale.
  • Implement and manage model serving systems (e.g., custom FastAPI/Django services or Triton Inference Server).
  • Monitor, log, and troubleshoot production systems and AI model performance, using tools like Prometheus, Grafana, Loki, Sentry, etc.
  • Handle both backend application codebases and infrastructure as code (Terraform, Pulumi) with a strong focus on reproducibility and scalability.
  • Collaborate closely with AI/ML engineers to integrate, optimize, and serve AI models efficiently.

Key Skills

Ranked by relevance

ai infrastructure as code containerization kubernetes prometheus terraform grafana fastapi python django docker flask cloud loki cicd aws gcp
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Posted
May 23, 2025
Type
Temporary
Level
Mid-Senior
Location
Spain
Company
Global M

Industries

Business Consulting Services

Categories

Information Technology

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