AI/ML Data Engineer

Reposted 6 Days Ago
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Lisbon, PRT
Hybrid
Entry level
Information Technology • Consulting
The Role
Develop and operate secure data pipelines for security events, integrate SOC and ITSM tools, and support AI-assisted incident response. Build SOAR automation, implement MLOps/AIOps practices, monitor model performance and drift, and address AI governance, security, and compliance risks. Collaborate with vendors and internal teams on production AI solutions while contributing to risk, ROI, and operational improvement decisions.
Summary Generated by Built In
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.

Skills Required

  • Strong experience with Python for data engineering, automation, and integration
  • Solid knowledge of SQL and PostgreSQL
  • Experience with data pipelines and log or event processing
  • Knowledge of machine learning or deep learning frameworks such as PyTorch or TensorFlow
  • Familiarity with Git versioning, logging, and observability practices
  • Knowledge of access control and authentication, including SSO, SAML, or LDAP
  • Experience or ability to work with data and machine learning infrastructure in production environments
  • Experience with SIEM, SOAR, or EDR
  • Experience with high-availability environments and GPU infrastructure
  • Knowledge of MLOps, AIOps, and AI governance
  • Autonomy, critical thinking, ownership, attention to detail, communication, collaboration, and continuous-improvement mindset
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The Company
HQ: Saint-Ouen
20,111 Employees

What We Do

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. Top Employer Europe 2024

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