Senior Machine Learning Engineer
Core
Build, ship, and operate production machine learning and AI solutions for financial data processing and reconciliation platforms, including transaction matching and exception handling.
Role type
Senior Machine Learning Engineer (Production)
Builds
Production-ready ML services, APIs, and data pipelines for financial reconciliation
Domain
Financial services / Applied AI / Machine Learning
Deliverable
production ML models
Required skills
Python (typed, clean, well-tested), PyTorch, scikit-learn, NumPy, Pandas, model serving, monitoring, drift detection, retraining, feature engineering, API development (FastAPI/Flask), containerization, Kubernetes, CI/CD, data pipeline construction
Preferred skills
MLOps practices, distributed data processing (Dask, Spark), LLM-based/agentic systems, model explainability (SHAP), workflow orchestration, regulated industry experience
Technologies
PyTorch, scikit-learn, NumPy, Pandas, FastAPI, Flask, Kubernetes, Dask, Spark, Apache Arrow
Responsibilities
Develop, deploy, and maintain ML models and services; translate prototypes into production-grade systems; own model serving, monitoring, and lifecycle management; engineer and evaluate features on financial datasets; collaborate on data and matching platforms; document methods and decisions
Seniority
Senior, hands-on IC
