Senior Machine Learning & AI Engineer (Cybersecurity)

Location: Ramat-Gan, Israel; hybrid

Company

hirify.global develops cloud-native security products and intelligent capabilities for detecting, understanding, and responding to security threats.

What you will do

• Lead end-to-end development of ML/AI capabilities from problem definition and data preparation through deployment and continuous improvement.
• Design proprietary models and algorithms for behavioral analysis, anomaly detection, threat detection, and security risk scoring.
• Build scalable batch and streaming pipelines for security telemetry, runtime events, system logs, and cloud-native activity.
• Apply statistical methods, classical machine learning, deep learning, and LLMs where they provide measurable value.
• Make architecture and infrastructure decisions while building production-grade ML services and APIs with monitoring, observability, model versioning, and automated deployment.
• Collaborate with security researchers and improve detection capabilities using real-world data, analyst feedback, and evolving threats.

Requirements

• 5+ years of hands-on experience developing and deploying AI/ML solutions in production environments.
• Experience building and delivering ML solutions in cybersecurity, threat detection, security analytics, behavioral analytics, or risk analysis.
• Strong Python skills and experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, or XGBoost.
• Solid understanding of machine learning fundamentals, statistics, feature engineering, supervised and unsupervised learning, and model evaluation.
• Experience building data pipelines, working with large datasets and SQL, and developing production inference systems.
• Strong Linux skills and practical Bash scripting experience.
• Understanding of security concepts and system behavior, including processes, networking, identities, containers, and cloud workloads.
• Ability to independently take complex technical challenges from concept to production with strong engineering ownership.
• Excellent problem-solving, communication, and collaboration skills.

Nice to have

• Experience with Go (Golang).
• Experience with anomaly detection, behavioral analytics, graph-based ML, event correlation, or sequence modeling.
• Experience with LLMs, embeddings, retrieval, or fine-tuning small language models.
• Familiarity with Kubernetes, cloud environments, distributed systems, or large-scale streaming architectures.
• Background in runtime security, eBPF, attack-path analysis, vulnerability prioritization, or MITRE ATT&CK.

Culture & Benefits

• Join a new initiative and build AI/ML security capabilities from the ground up.
• Influence the technical vision, core architecture, and key engineering decisions.
• Work on challenging cloud-native security problems with direct product impact.
• Full-time hybrid employment in Ramat-Gan, Israel.