We are seeking an exceptional Staff Machine Learning Engineer to lead the design and development of the next generation of our AI-driven fraud detection platform.
Requirements
- 5+ years of experience building ML or AI systems in production
- At least 2+ years in fraud, risk, or anomaly detection domains
- Proven track record designing and maintaining ML pipelines at scale
- Expertise in Python, ML frameworks, and CI/CD
- Strong understanding of supervised / unsupervised learning, anomaly detection, and statistical modeling
- Experience with big data and distributed systems
- Familiarity with cloud platforms and containerized deployments
- Strong collaboration, communication, and cross-team leadership skills
Benefits