Machine Learning Engineer
Core
Deploy machine learning models as reliable, low-latency services consumed by the mobile app backend and build feature pipelines for customer-level scores.
Role type
Machine Learning Engineer
Builds
Production ML models, feature pipelines, and data integration services
Domain
Financial services / Machine Learning
Deliverable
production ML models
Required skills
Python, REST/gRPC APIs, Docker, Kubernetes, AWS (S3, compute, managed ML), Airflow, CI/CD, infrastructure-as-code, observability
Preferred skills
Financial services experience, brokerage experience, regulated-industry experience, feature-store experience, ML-platform experience, market-data experience, financial-news-feed experience
Technologies
Python, Docker, Kubernetes, AWS, Airflow
Responsibilities
Deploy machine learning models as reliable, low-latency services; Build and schedule feature pipelines; Integrate external market-news feeds and product-analytics data; Implement model monitoring, drift detection, alerting, and retraining workflows; Establish ML deployment patterns, CI/CD, infrastructure-as-code, and testing standards; Document systems for long-term ownership
Seniority
Mid-Senior (4+ years experience)
