Machine Learning Engineer (AI)

TL;DR

Machine Learning Engineer (AI): Developing and deploying AI-driven security features for WAF and behavioral analysis platforms with an accent on anomaly detection and traffic pattern recognition. Focus on building robust ML pipelines, optimizing model performance in high-throughput environments, and integrating intelligent solutions into real-time security infrastructure.

Location: Must be based in Germany, the United Kingdom, Spain, or Estonia

Company

hirify.global is building AI-powered security infrastructure to protect the web from automated threats through real-time protection and behavioral intelligence.

What you will do

• Develop and deliver AI-driven security features in collaboration with product and engineering teams.
• Design, train, and deploy machine learning models for anomaly detection and bot mitigation.
• Build and maintain scalable data pipelines for model training and evaluation.
• Integrate ML models into real-time security systems like WAF and behavioral analytics engines.
• Monitor production model performance and perform retraining based on emerging threat patterns.
• Improve data quality and feature engineering workflows to enhance model accuracy.

Requirements

• 3+ years of professional experience in ML engineering or data science with production systems.
• Legal right to work in Germany, the United Kingdom, Spain, or Estonia.
• Strong proficiency in Python and ML libraries like PyTorch, TensorFlow, or scikit-learn.
• Experience with data pipelines and production deployment of ML models.
• Proven ability to work with large datasets and SQL-based data systems.
• Understanding of classification techniques and software engineering best practices including version control and CI/CD.

Nice to have

• Experience in security, fraud detection, or traffic analysis.
• Familiarity with cloud data tooling such as BigQuery, Spark, or Airflow.
• Knowledge of LLMs or generative AI frameworks.
• Background in real-time or high-throughput environments.

Culture & Benefits

• Focus on diverse and inclusive work environments.
• Opportunity to work on complex, high-impact security infrastructure.
• Cross-functional collaboration with AI and security specialists.
• Flexible remote work arrangement within specified European regions.