Lead AI Platform Engineer: Production ML That Scales

Source Group International

Lisboa

On-site

EUR 90,000 - 130,000

Full time

14 days+

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Job summary

Source Group International is seeking a Senior AI Platform Engineer to help build and scale an AI-native enterprise platform. You’ll take AI from experimentation into scalable, secure and production-ready systems in Lisbon, Portugal.

You will design platform capabilities, automate model deployment pipelines, and partner with ML engineers to improve deployment reliability and observability across all AI services.

Qualifications

  • Strong production ML/AI platform experience.
  • Solid software engineering background with automation.
  • Experience with cloud-native infrastructure and containers.
  • Deep understanding of CI/CD and IaC.
  • Knowledge of observability, logging, metrics and tracing.
  • Understanding ML/AI lifecycle and deployment strategies.
  • Experience working across ML, Platform, Data and Product teams.
  • Strong troubleshooting for reliability and operational excellence.

Responsibilities

  • Design and build platform capabilities for deploying AI systems.
  • Develop automated pipelines for model deployment, packaging and testing.
  • Build evaluation frameworks for quality, latency and cost.
  • Implement observability across models and services.
  • Partner with ML engineers to productionise models.
  • Work with platform engineering on infrastructure, security and resilience.
  • Support A/B testing, canary releases and progressive deployments.
  • Automate operational processes to improve productivity.
  • Contribute to agentic AI development and delivery practices.

Skills

production ML/AI platforms
software engineering
automation tooling
cloud-native infrastructure
CI/CD
observability
ML/AI lifecycle
cross-functional collaboration

Job description

Source Group International is seeking a Senior AI Platform Engineer to help build and scale an AI-native enterprise platform. You’ll take AI from experimentation into scalable, secure and production-ready systems in Lisbon, Portugal.

You will design platform capabilities, automate model deployment pipelines, and partner with ML engineers to improve deployment reliability and observability across all AI services.

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