? We’re Hiring | AI/ML Engineer – Correlation Engine | Terralogic
Terralogic is looking for an experienced AI/ML engineer to join our team and work on an exciting cybersecurity-focused correlation engine.
This is not a pure ML research role. You’ll be building and shipping production AI/ML systems that analyse security events, detect behavioural anomalies, correlate multi-stage attack chains, and help SOC teams make better decisions.

YOE: 3+ Years
Job location: Bangalore
Notice period: Immediate to 30 days

Required Qualifications
• 3–5 years of experience in applied ML / data science, with at least one production system involving anomaly
detection, behavioral baselining, or time-series / event-sequence modeling.
• Solid Python and TypeScript/Node.js skills, and comfort working in a backend service — this role ships production code inside a Kafka/Redis/MongoDB microservice, not just models.
• Solid grasp of statistics relevant to anomaly detection: rolling baselines, peer-group / cohort comparison, confidence intervals, false-positive rate management.




• Working knowledge of graph data structures and graph algorithms (path finding, community detection, or similar) — or strong motivation to apply that to a live entity relationship graph.
• Experience with event-driven or streaming architectures (Kafka, Redis Streams/sorted sets, or comparable) and an understanding of sliding-window / windowed aggregation patterns.
• Comfort reading and reasoning about security telemetry (authentication logs, endpoint events, network flow, cloud audit logs).
• Experience serving open-source LLMs locally/on-prem (e.g., Qwen, Llama) with tools such as vLLM, Ollama, or TGI — all AI inference in this stack runs on self-hosted open-source models, not cloud AI APIs.

Preferred / Nice to Have
• Prior exposure to SIEM, XDR, UEBA, or fraud-detection systems, or familiarity with MITRE ATT&CK-style;
attack chain modeling.
• Hands-on experience with Wazuh or a similar open-source SIEM/XDR platfor

📌 AI/ML Engineer (Bengaluru)
🏢 TERRALOGIC
📍 Bengaluru