Machine Learning Engineer
Core
Design, build, and deploy cutting-edge machine learning and generative AI solutions at scale for decisioning, analytics, fraud, and identity products.
Role type
Senior Machine Learning Engineer (Generative AI & Production)
Builds
Production-ready ML models, prototypes, and platform capabilities on the Ascend platform.
Domain
Financial services / Data & Technology / Generative AI
Deliverable
production ML models
Required skills
Python, distributed computing frameworks (AWS), Spark (pySpark), Generative AI tools, prompt engineering, fine-tuning, RAG, model evaluation frameworks, supervised/unsupervised/deep learning, graph analytics, anomaly detection, reinforcement learning, statistical modeling, modular design, version control, automated testing.
Preferred skills
Model risk management, governance processes, regulatory requirements, LLM advances.
Technologies
AWS, Spark, Python, SAS, Ascend platform.
Responsibilities
Partner with data scientists to package and productize analytics solutions; deliver last-mile production code; collaborate on ML, dashboarding, and AI applications; craft advanced ML analytical solutions and prototypes; document and present model processes and outcomes; develop new models and prototype generative capabilities; design and implement advanced algorithms; contribute to feature and platform evolution.
Seniority
Senior, hands-on IC