Senior ML Engineer

About the role

As a Senior ML Engineer, you'll play a central role in building the data science behind the products — from framing new fraud, risk, and intelligence problems, to designing and deploying ML models at scale, to helping our enterprise customers and go-to-market teams understand and act on the insights we generate.

What you'll do

• Design, build, and continuously improve the ML models that power our risk and intelligence products, and take ownership of new signals as they get scoped
• Take a loosely defined business or customer problem and break it into a clear data problem, articulating value, impact, and complexity before proposing a solution
• Build anomaly detection, fraud, and risk-modeling approaches — including network/graph-based methods — that keep our signals accurate and resistant to adversarial…
• Own model development, deployment, and monitoring end-to-end, partnering with ML/data engineers on scalability, reliability, cost, and dashboards/alerting
• Design and run experiments (A/B tests, offline customer POCs) to validate new signals before they roll into production

What you need

• 5–9 yrs of experience
• Machine learning
• SQL
• Python
• Pandas
• Scikit-learn
• BigQuery
• Any graduate

Good to have

• MLOps
• GCP
• Spark
• NLP
• LLMs
• Data warehousing