Senior Machine Learning Engineer - AML Tech
Core
Build and operate robust machine learning systems at scale to detect complex financial crime and reduce dependence on static rules in a hybrid stack.
Role type
Senior Machine Learning Engineer (Fintech/AML)
Builds
Production ML pipelines for data ingestion, training, validation, and deployment; automated AI/ML detection engine
Domain
Fintech, Anti-Money Laundering, Financial Crime Detection
Deliverable
production ML models
Required skills
Python, full ML model lifecycle in production, big data pipelines, software engineering, data engineering, MLOps, statistics, machine learning techniques
Preferred skills
Deep PySpark expertise, Finance domain experience, working with extremely unbalanced data, Production LLM experience
Technologies
(py)spark, SQL, Tensorflow, PyTorch, XGBoost, LightGBM, Pandas, MLFlow, Airflow, k8s, docker, argo-workflows, prometheus, grafana
Responsibilities
Develop and maintain production ML pipelines; upgrade existing rules-heavy system to modern automated AI/ML engine; collaborate with data engineers and analysts; collaborate with operations and compliance teams; tackle technical challenges like extreme class imbalance and incomplete ground truth; support engineering practices
Seniority
Senior, hands-on IC
