AI Platform Engineer — Build Production ML Pipelines

Decskill; Lisboa; On-site; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Long-term projects

Tech growth opportunities

People-first culture

Stable teams

Job summary

Decskill is growing its AI/ML practice with focused expertise in production deployments, automation, and scalable cloud-native pipelines. The team collaborates across ML, Platform, Product, and Data Engineering to deliver end-to-end AI solutions from development to live operation.

The opportunity is based in Portugal with strong emphasis on reliability, observability, and governance, enabling long-term, impactful technology initiatives across international projects.

Qualifications

• Proven experience deploying and operating ML/AI systems in production.
• Strong software engineering skills, with automation tooling experience.
• Cloud-native infrastructure, container platforms and distributed systems.
• CI/CD, infrastructure as code and release automation expertise.
• Building pipelines for model packaging, deployment, versioning and testing.
• Understanding deployment strategies including canary, A/B testing, and rollouts.
• Experience implementing evaluation frameworks for model quality and performance.
• Strong observability skills across metrics, logs and telemetry for AI services.
• Knowledge of reproducibility, auditability, version control and governance.
• Strong troubleshooting focus on reliability and scalability.
• Collaborates with ML, Platform Eng, Product Eng and Data Eng teams.
• Fluent in English.

Skills

ML deployment

Automation tooling

Cloud-native infra

CI/CD & IaC

Model packaging pipelines

Deployment strategies

Model evaluation

Observability

Reproducibility & governance

Troubleshooting & reliability

Cross-team collaboration

English fluency

Job description

Decskill is growing its AI/ML practice with focused expertise in production deployments, automation, and scalable cloud-native pipelines. The team collaborates across ML, Platform, Product, and Data Engineering to deliver end-to-end AI solutions from development to live operation.

The opportunity is based in Portugal with strong emphasis on reliability, observability, and governance, enabling long-term, impactful technology initiatives across international projects.