ML Engineer
Core
Building and operating end-to-end ML products for credit scoring and operational intelligence to minimize defaults and maximize acceptance in the Buy Now Pay Later (BNPL) sector.
Role type
Senior Machine Learning Engineer (MLOps & Production)
Builds
Credit-scoring models, revenue forecast tools, and debt collection optimization systems.
Domain
Financial Services / BNPL / Credit Risk
Deliverable
production ML models
Required skills
Python, SQL, ML fundamentals (evaluation, leakage, overfitting), MLOps, system design, latency optimization, GitOps CI/CD, monitoring (Datadog), SLO definition
Preferred skills
GCP, Docker, graph databases, LLMs, credit scoring, BNPL, fraud detection
Technologies
Vertex AI Pipelines, Kubeflow, dbt, BigQuery, PostgreSQL, Argo Workflows, Neo4j, FastAPI, Argo CD, Kubernetes, Terraform
Responsibilities
Own ML models across full lifecycle from data pipelines to deployment and monitoring; run and improve the ML platform including CI/CD and release processes; collaborate with risk and product teams to identify and ship new ML opportunities
Seniority
Senior, hands-on IC