Applied Scientist / Applied ML Engineer

About the role

We are looking for an Applied Scientist / Applied ML Engineer to design, build, and deploy machine learning models that power pricing, bidding, and decisioning on a cross-border payments platform. This role owns problems end to end, from formulation to production, and partners closely with Product and Backend Engineering.

What you'll do

• Own end-to-end ML solutions for pricing, bidding, and risk decisioning
• Formulate model objectives from first principles, including loss functions, constraints, and metrics, and implement them as production-grade services
• Design and run experiments, including A/B tests and offline evaluations, and iterate with clear success metrics
• Monitor models in production, investigate regressions, and continuously improve performance

What you need

• 3–7 yrs of experience
• Machine learning
• SQL
• Python
• Pandas
• Scikit-learn
• ETL
• M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• AWS
• MLOps
• AML
• Credit risk
• GCP
• CI/CD