onsite
Machine Learning Engineer II - Behavioral Security Products - Abnormal
ML Engineer
Senior ML Engineer focused on behavioral security, building detection models for account takeover using Python, AWS, and advanced data engineering techniques.
About the role
Key Responsibilities
- Design, develop, and deploy machine learning models that detect account takeover attempts in real time.
- Collaborate with security analysts to refine feature sets and improve model accuracy.
- Engineer scalable data pipelines on AWS to ingest, process, and store large volumes of behavioral data.
- Conduct model validation, A/B testing, and performance monitoring to ensure robust security outcomes.
- Document model logic, data schemas, and deployment procedures for internal and external stakeholders.
Requirements
- 3+ years of experience building production ML systems in a security context.
- Proficiency in Python, SQL, and AWS services (S3, Redshift, SageMaker).
- Strong background in data engineering, feature engineering, and model deployment.
- Experience with security analytics, anomaly detection, or behavioral biometrics is a plus.
- Excellent communication skills and ability to work cross‑functionally with product and engineering teams.
Skills
pythonmachine learningaws