Senior AI & ML Engineer - AML Search Quality

The role

You will drive modeling and experimentation for fuzzy matching and AML screening quality. You will build evaluation datasets, design scoring approaches, and own the production quality of models and configurations.

What you will do

• Drive modeling and experimentation for fuzzy matching and AML screening quality
• Build evaluation datasets and metrics to measure match quality
• Design scoring and ML approaches for real-time decisioning constraints
• Own production quality of models and configurations including monitoring for drift
• Participate in on-call and incident follow-up
• Investigate customer-reported matching issues
• Collaborate with Product, QA, Architects, DevOps, and Customer Success
• Capture learnings from experiments and introduce AI tools
• Mentor teammates and raise the bar for data science practice

Required qualifications

• 5+ years of experience in data science or machine learning, delivering models to production
• Strong Python skills
• Strong command of statistical analysis and experiment design
• Experience with NLP or text-based machine learning
• Experience owning the full lifecycle of data-driven systems
• Solid background in data analysis and SQL
• Working understanding of backend services and APIs
• Experience with non-relational or search databases
• Working experience with a major cloud provider
• Clear communication to explain modeling trade-offs to non-technical stakeholders
• Track record of turning ambiguous problems into end-to-end solutions

Nice to have

• Prior experience in AML, KYC, or another regulated financial services domain
• Experience driving cross-team technical work
• Experience using AI-assisted development tools

About the company

SEON is the command center for fraud prevention and AML compliance. It helps companies stop fraud and reduce risk using real-time data signals.