Ai Data Engineer

Descrição do cargo

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

Profile

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

About Inetum

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.

Additional Information

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

Location: Picoas, Lisboa.

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