Staff ML Engineer
Core
Lead end-to-end ML initiatives, manage a high-performing ML engineering team, and drive technical innovation for Wealth Management data solutions.
Role type
Staff Machine Learning Engineer (Technical Leadership)
Builds
Scalable ML models, MLOps pipelines, and production ML solutions for Wealth Management
Domain
Financial Services / Wealth Management / Machine Learning
Deliverable
production ML models
Required skills
Machine Learning, Python, Java, Cloud Platforms (AWS/Azure), MLOps, Team Leadership, DevOps, SQL, Containerization (Docker/Kubernetes)
Preferred skills
GenAI, Deep Learning, Financial Domain Knowledge, Agile/Scrum
Technologies
AWS, Azure, OpenShift, Docker, Kubernetes, Helios, Snowflake, SQL Server, REST APIs, GraphQL
Responsibilities
Manage and mentor ML engineers, define technical roadmap and architecture, design and deploy scalable ML models, establish MLOps best practices, partner with stakeholders to align ML initiatives with business goals
Seniority
Staff, hands-on IC with leadership responsibilities