AI/ML Data Engineer

Inetum

Portugal · Full-time · Mid-Senior

Company Description

Inetum is a European leader in digital services. Inetum’s team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum’s solutions aim at contributing to its clients’ performance and innovation as well as the common good.

Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility.

Driven by its ambition for growth and scale, Inetum generated sales of 2.5 billion euros in 2023.

Job Description

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.

Key Skills

Ranked by relevance

ai incident response cybersecurity pytorch python siem saml git sql

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