AIML Data Engineer

We are looking for an AI/ML Data Engineer to join a team focused on transforming data and incident response processes into a robust secure and production-ready AI system. This role combines data engineering automation and cybersecurity with a strong impact in a production environment.

Key Responsibilities:

• Develop and operate data pipelines (ingestion normalization and enrichment) for security events (logs alerts and tickets)
• Implement end-to-end integrations with SOC and ITSM tools ensuring data consistency and quality
• Support the incident lifecycle (triage investigation and response) through AI-assisted models and automated playbooks
• Optimize response processes by reducing operational noise and improving incident prioritization
• Implement and evolve automation and orchestration workflows (SOAR)
• Ensure MLOps/AIOps practices including versioning performance monitoring and drift detection
• Guarantee governance security and compliance in the use of data and AI models
• Mitigate risks associated with AI usage (e.g. prompt injection data leakage incorrect outputs)
• Collaborate with vendors and internal teams on the integration and operation of AI solutions
• Contribute to technical and strategic decision-making including risk and ROI analysis

Qualifications :

• Strong experience in Python (data engineering automation and integration)
• Solid knowledge of SQL / PostgreSQL
• Experience with data pipelines and log/event processing
• Knowledge of ML/Deep Learning frameworks (e.g. PyTorch TensorFlow)
• Familiarity with versioning (Git) logging and observability practices
• Knowledge of access control and authentication (SSO SAML LDAP)
• Experience or ability to work with data and ML infrastructure in production environments

Nice to Have:

• Experience with SIEM SOAR and EDR
• Experience with high-availability environments and infrastructure (including GPU)
• Knowledge of MLOps/AIOps and AI governance

Soft Skills:

• High level of autonomy and critical thinking
• Ability to work in complex production-oriented environments
• Strong sense of ownership and attention to detail especially in security contexts
• Good communication and collaboration skills with both technical and business teams
• Continuous improvement mindset and focus on operational efficiency

Additional Information :

• Workplace type: Hybrid (max. of 3 times per week in the office).
• Location: Picoas Lisboa.

Remote Work :

No

Employment Type :

Full-time