AI Engineer: MLOps & Generative AI in Production

IT International Mobility; Lisboa; Presencial; EUR 70 000 - 110 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Innovation & Impact

Continuous learning

Team spirit

Diversity & inclusion

Resumo da oferta

MoOngy is seeking an experienced AI Engineer to industrialize and operate AI services in production, collaborating with Data Scientists, Data Engineers, Security, Compliance, and IT teams.

The role focuses on deploying and monitoring ML, DL, LLM, and AI solutions, building CI/CD pipelines for AI workloads, managing containerized deployments, and ensuring governance and GDPR/DORA compliance in a hybrid/on-prem environment.

Qualificações

• 5+ years of experience in MLOps, AI Engineering, Data Engineering, or DevOps.
• Hands-on experience with GitLab, Docker, Kubernetes, and Jenkins.
• Knowledge of ML, DL, LLMs, and AI Agents.
• Experience with MLflow, DVC, or similar MLOps tools.
• Understanding of model governance, data lineage, and AI lifecycle management.
• Experience in hybrid or on-premises environments.

Responsabilidades

• Deploy, monitor, and optimize ML, DL, LLM, and AI Agent solutions.
• Build and maintain CI/CD pipelines for AI workloads.
• Manage containerized deployments and model lifecycle processes.
• Ensure model traceability, observability, quality, and governance.
• Collaborate with Security and Compliance teams to meet GDPR, DORA, and AI Act requirements.

Conhecimentos

MLOps

AI Engineering

Data Engineering

DevOps

GitLab

Docker

Kubernetes

Jenkins

MLflow

DVC

Model governance

Data lineage

Ferramentas

GitLab

Docker

Kubernetes

Jenkins

MLflow

DVC

Descrição da oferta de emprego

MoOngy is seeking an experienced AI Engineer to industrialize and operate AI services in production, collaborating with Data Scientists, Data Engineers, Security, Compliance, and IT teams.

The role focuses on deploying and monitoring ML, DL, LLM, and AI solutions, building CI/CD pipelines for AI workloads, managing containerized deployments, and ensuring governance and GDPR/DORA compliance in a hybrid/on-prem environment.