IA Engineer

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

Founded in 2005, MoOngy is an international group specialized in Engineering and IT, operating across Europe and North Africa.

With a presence in 14 countries, more than 40 entities, and 9,500 talents, we continue to grow every day thanks to one simple thing: people who are genuinely passionate about technology and innovation.

The Role: AI Engineer (MLOps & Generative AI)

We're looking for an AI Engineer to help industrialize and operate AI solutions in production environments. You'll work closely with Data Scientists, Data Engineers, Cybersecurity, Compliance, and IT teams to deliver scalable, secure, and compliant AI services.

What You'll Do

• 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.

What We're Looking For

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

Nice to Have

• Bash, YAML, and SQL.
• Experience with Agentic AI solutions.
• IAM, security, or data protection experience.

Moongy:

• Innovation & Impact: Play a central role in driving the future through creative solutions
• Continuous learning: Trainings, certifications, and structured career growth.
• Team spirit: An international community where collaboration means something.
• Diversity & inclusion: At MoOngy, everyone belongs — no fine print.

Diversity & Inclusion

At MoOngy Group, we are committed to equality and diversity. We foster a safe, inclusive, and respectful environment where everyone has equal opportunities.

We do not discriminate based on age, origin, gender, sexual orientation, disability, or any criterion unrelated to skills and merit.