The goal of the role is to make the default ML workflow faster and safer for large scale market data users by building and improving Python-first tooling and patterns
Job Summary
The goal of the role is to make the default ML workflow faster and safer for large scale market data users by building and improving Python-first tooling and patterns.
This is an enablement role: success is measured by team productivity, fewer recurring failures, and adoption of shared patterns, not by isolated heroics.
Establish and promote standards for ML development: reproducibility, quality, auditability, and maintainability (testing, versioning, documentation).
Matching Summary
The goal of the role is to make the default ML workflow faster and safer for large scale market data users by building and improving Python-first tooling and patterns.
Skills & Requirements
Must-have
Python engineering skills
production software operation
Containers and Linux/UNIX fluency
AWS cloud experience
C++ debugging knowledge
large scale time series data
Nice-to-have
ML systems building and operation
Data scientist experience
inference server experience
platform design experience
design thinking for platforms
Key Requirements
Must have strong Python engineering skills
Experience building and operating software in production