Machine Learning Engineer
Core
Building and deploying ML models and pipelines to automate user tasks and improve product interactions at a financial infrastructure platform.
Role type
Machine Learning Engineer
Builds
Production ML systems, LLM integrations, and automated processes for user-facing features
Domain
Fintech / Applied Machine Learning
Deliverable
production ML models
Required skills
ML model training and evaluation, streaming feature pipelines, production system deployment, backend code modification, offline/online experimentation, model quality monitoring
Preferred skills
LLM integration, full-stack software development, hypothesis-driven data analysis, operating in ambiguous environments
Technologies
LLMs, OSS platforms, in-house platforms
Responsibilities
Develop pipelines to train and evaluate models in offline and online environments; Integrate ML models into production systems ensuring scalability; Collaborate with partners to implement new product features; Engage with latest ML/AI developments to transform ideas into production solutions
