20 publicaciones de empleo destacadas de it risk it technology en barcelona, ct (¡Están contratando!)

Detection Engineer - AI/ML
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BUNGE —Sant Just Desvern, Barcelona provincia
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Data Scientist (They/She/He) – (Hybrid)
eDreams ODIGEO —Barcelona, Barcelona provincia
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- Informática
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GRC Specialist
Papaya Global —Barcelona, Barcelona provincia
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- Inglés
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- Agile
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Merck KGaA —Mollet del Vallès, Barcelona provincia
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- Microsoft Word
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- Sin necesidad de experiencia
Cyber Security Analyst - Vulnerability & Attack Surface Management
Allianz —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Informática
- Inglés
- APIs
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Siemens Healthineers —Barcelona, Barcelona provincia
- Jornada completa
- Azure
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- Inglés
- Plan de pensiones
Middle Office and BI Analyst
BUNGE —Barcelona, Barcelona provincia
- Microsoft Excel
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Revolut Ltd —Barcelona, Barcelona provincia
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Gartner —Barcelona, Barcelona provincia
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- Inglés
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Analytics Engineer
Qualifyze GmbH —Barcelona, Barcelona provincia
- De 40.000 € a 50.000 € al año
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- Máster
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- Grado
- Teletrabajo opcional
Solicitud rápida
12d

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Detection Engineer - AI/ML

Allianz -
Barcelona, Barcelona provincia

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Detalles del empleo

Jornada completa

Beneficios

Plan de pensiones

Cualificaciones

TensorFlow
Informática
Inglés
SoC
Machine learning
Deep learning
SIEM
Inteligencia artificial
Python
Análisis de malware

Descripción completa del empleo

About the job
Join theAllianz Cyber Defense Center (ACDC) as the engineer who bringsmachine learning into our detection workflow. Your mission is to take ACDC beyond rule-based detection into predictive, model-driven threat identification — analyzing patterns, anomalies, and behavioral signals across CrowdStrike EDR and Google SecOps telemetry. You'll work side-by-side with detection engineers, threat hunters, and CTI to catch what static rules can't.

What you do

Continuously research and develop detection strategies for novel AI-based threat scenarios — translating threat intelligence on adversarial AI techniques into actionable detection logic that analysts can triage with confidence, while partnering with Detection Engineers to operationalize these detections across the ACDC.
Design and implement detections for AI-driven attack scenarios — leveraging the ACDC's diverse data sources (EDR, SIEM, SOAR telemetry) to identify emerging threat patterns where adversaries utilize AI techniques such as automated phishing, AI-generated social engineering, deepfakes, or AI-assisted lateral movement.
Serve as the subject matter expert on out-of-the-box AI/ML capabilities within our SIEM, SOAR, and EDR platforms — evaluating, tuning, and maximizing native AI-powered detection features to ensure optimal coverage against AI-driven threats.
Build and maintain AI-powered detection pipelines that continuously learn and adapt as new threats emerge.
Engineer features and curate training data from CrowdStrike Falcon and Google SecOps, ensuring quality, labeling integrity, and statistical relevance.
Monitor and mitigate AI-specific risks: model drift, training data bias, adversarial inputs, and over-reliance on automation.
Track and respond to the adversarial AI landscape — AI-generated phishing, evasive malware, deepfake social engineering — and embed countermeasures into our detection stack.
Apply an MLOps mindset: version models, monitor performance in production, and continuously evaluate precision, recall, and false-positive rates against ACDC KPIs.

What you bring

3+ years of hands-on experience applying machine learning to cybersecurity, fraud detection, or large-scale anomaly detection problems.
Strong Python skills and practical experience with ML frameworks (scikit-learn, PyTorch, TensorFlow, or XGBoost) for both classical and deep learning approaches.
Working knowledge of security telemetry — EDR (ideally CrowdStrike Falcon), SIEM (ideally Google SecOps / Chronicle), and an understanding of how detection pipelines consume model outputs.
Solid foundation in feature engineering, model evaluation, and the statistical reality of class imbalance (which is exactly what threat detection looks like).
Familiarity with MLOps practices: model versioning, monitoring, retraining workflows, and tools like MLflow, Vertex AI, or equivalent.
Awareness of adversarial ML threats (model poisoning, evasion, prompt injection) and how to defend against them in operational settings.
Clear communication in English (team working language) — you can explain a model's behavior, its limitations, and its detections to both data scientists and SOC analysts.

What we offer

We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad.
We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location).
From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered.
Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach.

About Allianz Technology
With its headquarters in Munich, Germany, Allianz Technology is Allianz's global IT service provider and delivers IT solutions that drive the group's digitalization. With more than 11,000 employees in over 20 countries around the world, Allianz Technology is tasked to run, optimize, transform and innovate the infrastructure, applications and services together with Allianz companies to co-create the best customer experience.

We service the entire spectrum of digitalization – from one of the industry's largest IT infrastructure projects that spans data centres, networks and security, to application platforms ranging from workplace services to digital interaction.

In short: We deliver comprehensive end-to-end IT solutions for Allianz in the digital age. We are the backbone of Allianz.
Find us at: www.linkedin.com/company/allianz-technology.

Commitment to Integrity, Fairness Inclusion
Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.

We at Allianz believe in a strong inclusive culture that encourages people to speak their minds, get involved and question the status quo. We are proud to be an equal opportunity employer and encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love, or what you believe in. We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability, sexual orientation, or any other characteristics protected under applicable local laws and regulations.

To Recruitment Agencies
Allianz Technology has an in-house recruitment team that sources great candidates directly. Therefore, Allianz Technology does not accept unsolicited resumes from agencies or search firm recruiters.
When we do work with recruitment agencies, that engagement is formalized by a contract. Fees will only be paid when there is a contract in place. Without a contract in place, we will not accept invoices on unsolicited resumes, even if the candidate was ultimately employed by Allianz.
100165 | Ingeniería informática y tecnológica | Profesional / Senior | Non-Executive | Allianz Technology | Jornada completa | Indefinido

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