onsite
Machine Learning Engineer - Uber
ML Engineer
Machine Learning Engineer building real‑time, ML‑driven access controls for a Zero Trust Architecture, integrating security, data science, and cloud infrastructure to protect both users and AI agents.
About the role
Key Responsibilities
- Design, develop, and deploy ML models that drive dynamic access decisions within a Zero Trust framework.
- Collaborate with security, product, and data teams to translate business and security requirements into scalable solutions.
- Implement end‑to‑end pipelines on AWS, ensuring data integrity, model monitoring, and continuous improvement.
- Integrate models with authentication and authorization services, optimizing for low latency and high availability.
- Conduct threat modeling, risk assessment, and model explainability to meet compliance and audit standards.
Requirements
- 3+ years of experience building production ML systems in a security context.
- Proficiency in Python, AWS services (SageMaker, Lambda, Glue), and data engineering tools.
- Strong understanding of Zero Trust principles, authentication protocols, and secure software design.
- Experience with model monitoring, A/B testing, and performance tuning at scale.
- Excellent communication skills and ability to work cross‑functionally in a fast‑paced environment.
Skills
pythonmachine learningaws