Machine Learning Engineer

Full-time Engineering

Responsibilities

• Optimize ML model serving for low-latency inference (target: sub-200ms P95) on EKS.
• Advise on and implement AWS-native ML infrastructure (SageMaker endpoints, model registry, A/B testing, monitoring).
• Support ML-optimized rule weight calibration—training logistic regression/LightGBM on rule-fire indicators to learn optimal rule weights from labeled data.
• Assist with model retraining pipeline automation and drift detection.
• Contribute to model explainability documentation (SHAP-based attribution) for regulatory compliance.
• Participate in model governance: version control, audit trails, threshold configuration per participating institution.
• Support load testing and performance benchmarking of the ML scoring pipeline.
• Provide input for the technical proposal and architecture documentation.

Requirements

• AWS Machine Learning Specialty Certification (or...