Join HarfangLab as an AI Engineer to architect and deploy intelligent cybersecurity solutions. You will design ML models for advanced threat detection, collaborating with a nimble team in Paris.

We are seeking an innovative AI Engineer to join our cybersecurity team at HarfangLab. In this role, you will design, develop, and deploy machine learning models and AI-driven solutions to enhance our endpoint detection and response (EDR) platform. You will work closely with data scientists and security experts to create algorithms that detect advanced threats, automate incident response, and improve threat intelligence. This is an opportunity to tackle complex challenges in cybersecurity using cutting-edge AI technologies.

Key Responsibilities

• Develop and implement machine learning models for threat detection and anomaly analysis.
• Process and analyze large-scale security data to identify patterns and improve detection accuracy.
• Collaborate with cross-functional teams to integrate AI features into our EDR platform.
• Optimize model performance and scalability for real-time processing.
• Stay updated with the latest AI and cybersecurity research to drive innovation.
• Document and present technical solutions to internal stakeholders.

Technologies We Use

• Python, TensorFlow, PyTorch, Scikit-learn
• Big data tools (Spark, Kafka)
• Cloud platforms (AWS, GCP)
• Linux environments and containerization (Docker, Kubernetes)

• Master's degree in Computer Science, AI, Machine Learning, or related field
• 3+ years of experience in AI/ML engineering or a similar role
• Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch)
• Experience with big data processing and real-time systems
• Solid understanding of cybersecurity concepts and threat detection
• Familiarity with cloud computing and DevOps practices
• Excellent problem-solving and communication skills
• Ability to work independently in a remote team environment

• Competitive salary and performance bonuses
• Flexible working hours and remote work options
• Professional development opportunities and training budgets
• Health insurance and wellness programs
• Annual team retreats and company events