Senior ML Security Engineer: Proactive SOC & AI Automation

Proton; Paris; Sur place; EUR 46 000 - 74 000; Plein temps

Avantages offerts par ce poste

Stock options

Lunch and snacks on site

Flexible working

Transportation support

Learning and development

Strong health coverage

Résumé du poste

Proton seeks a Security Machine Learning Engineer to advance our SOC from reactive to proactive with ML-based detection, anomaly identification, and automated incident response. You will design pipelines, integrate ML into security workflows, and collaborate with the ML team to ensure scalable, auditable solutions that support privacy and security at scale.

Join a team that leverages Python, ML, and data engineering to reduce alerts, improve precision, and deploy production-ready analytics

Qualifications

• Proven experience in ML engineering or data science, ideally in cybersecurity or operations.
• Proficiency in Python with strong ML framework knowledge.
• Experience with data manipulation using Pandas/NumPy or similar.
• Familiarity with security data sources (SIEM logs, EDR telemetry, etc.).
• Solid ML lifecycle understanding: data prep, training, evaluation, deployment, monitoring.
• Experience with data pipelines and storage technologies (Airflow, Kafka, Redis, Elasticsearch, ClickHouse).

Responsabilités

• Design, develop, and deploy ML models to enhance security detection and incident response.
• Integrate ML outputs into SOC workflows for smarter triage.
• Build and maintain data pipelines to convert security data into ML-ready datasets.
• Explore and build LLM-powered tools to automate SOC tasks and reports.
• Prototype and test new ML/AI techniques to improve detection and automation.
• Deploy models securely with monitoring, retraining, and auditability.

Connaissances

Machine Learning

Python

Pandas/NumPy

Security data sources

ML lifecycle

Data pipelines

Outils

Airflow

Kafka

Redis

Elasticsearch

ClickHouse

Description du poste

Proton seeks a Security Machine Learning Engineer to advance our SOC from reactive to proactive with ML-based detection, anomaly identification, and automated incident response. You will design pipelines, integrate ML into security workflows, and collaborate with the ML team to ensure scalable, auditable solutions that support privacy and security at scale.

Join a team that leverages Python, ML, and data engineering to reduce alerts, improve precision, and deploy production-ready analytics