Senior Machine Learning Engineer
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The role
Lead the design, development, and deployment of scalable ML models to solve credit risk, fraud, and portfolio risk challenges.
Preprocess large datasets, engineer features, and validate model robustness with back-testing and continuous monitoring.
Build production-grade ML pipelines and MLOps practices to enable end-to-end lifecycle management from data ingestion to deployment.
Collaborate with credit risk analysts, data engineers, and product teams to translate analytical requirements into production-ready solutions.
Deploy models across cloud environments (AWS, GCP, or Azure) while ensuring governance, explainability, and regulatory compliance.
Mentor junior engineers, conduct peer reviews, and promote engineering excellence within the credit modeling domain.
Preprocess large datasets, engineer features, and validate model robustness with back-testing and continuous monitoring.
Build production-grade ML pipelines and MLOps practices to enable end-to-end lifecycle management from data ingestion to deployment.
Collaborate with credit risk analysts, data engineers, and product teams to translate analytical requirements into production-ready solutions.
Deploy models across cloud environments (AWS, GCP, or Azure) while ensuring governance, explainability, and regulatory compliance.
Mentor junior engineers, conduct peer reviews, and promote engineering excellence within the credit modeling domain.
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