Machine Learning Engineer II
Core
Architect scalable machine learning and Gen AI systems, write efficient code for model deployment, and work with large-scale real-world datasets including banking transactions and documents.
Role type
Senior Machine Learning Engineer (MLOps & System Architecture)
Builds
Standardized frameworks to launch AI models with real-world impact for 27M+ customers
Domain
Financial Services / Machine Learning / Generative AI
Deliverable
production ML models
Required skills
machine learning, data engineering, MLOps, cloud solution architecture, software development, Python, SQL, R, Scala
Preferred skills
Azure cloud architecture, Certified Scrum Product Owner, Certified Scrum Master
Technologies
Python, R, SQL, Scala, Azure
Responsibilities
Architect scalable ML and Gen AI systems integrating with existing data platforms; Write clean, efficient, and maintainable code for ML model deployment; Work with large-scale datasets spanning banking transactions, conversation histories, and document collections.
Seniority
Mid-Senior, hands-on IC
