AI/ML Data Engineer at inetum2 – Lisbon | Jobyssey

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

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

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

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