Machine Learning Engineer, Senior Manager
Core
Design, build, and deliver machine learning models and multi-tenant platforms to address real business problems in risk management, partnering with Product and Data Science teams.
Role type
Senior Manager, Machine Learning Engineer (Risk Tech)
Builds
Proprietary AI-powered risk management solutions, large-scale model training and serving platforms, and efficient data pipelines.
Domain
Financial Services / Risk Management / Machine Learning
Required skills
Python, Java, Golang, C++, PyTorch, TensorFlow, Pandas, NumPy, Scikit-learn, Spark, Ray, AWS, GCP, Azure, Kubernetes, CI/CD, model deployment, data pipeline design, hyperparameter tuning, model monitoring, Responsible AI practices
Preferred skills
ML algorithm optimization, software development best practices (source control, testing, code reviews), resilient software architecture, advanced deployment strategies, incident response planning, model evaluation and debugging, scaling production data pipelines, technical communication
Technologies
AWS, Azure, GCP, Kubernetes, PyTorch, TensorFlow, Spark, Ray, Python, Java, Golang, Scala, Pandas, NumPy, Scikit-learn
Responsibilities
Design and build ML models and components for risk management; build and scale multi-tenant platforms for model training and serving; make ML infrastructure decisions based on modeling techniques and data selection; write and test application code to solve complex problems; retrain, maintain, and monitor models in production; leverage cloud-based architectures to deliver optimized ML models at scale; build efficient data pipelines for ML; apply CI/CD practices for reliable releases; ensure code management and model governance following Responsible and Explainable AI best practices
Seniority
Senior Manager, hands-on IC with leadership responsibilities
