Job Description
We use Machine Learning extensively to create better
signals for trading and to bring greater
transparency/efficiency across Equity and Debt
Markets.
In this role, you’ll help us build end-to-end Machine
Learning Processor - scalable & shared
infrastructure that accelerates the pace of
deployment of impactful, high-quality ML use cases
company-wide starting with the debt product.
You’ll have the opportunity to work in a financial
research setup that spans the ML lifecycle from
ideation to production:
Build
our core ML model lifecycle management system to
provide an ML-aware release and deployment
experience.
Create
libraries and development tools to support high
quality, high-performance ML models.
Build
out model experimentation systems to enable advanced
use cases.
Create
intelligent ML-aware real-time monitoring &
observability systems/plugins.
Responsibilities
Work
closely with Data Science and Product folks to
understand, refine, and prioritize requirements.
Design
and create simple, powerful APIs (& UIs) for client
services.
Design,
build and scale back-end services using Docker and
Kubernetes.
Optimise,
automate and carry out continuous improvements to
the workflow whenever necessary.
Who We Are Looking For
2+
years of industry experience in backend development
(Preferably machine learning service).
Strong
coding skills in Python/Java/Scala (Preferably
Python).
Solid
understanding of engineering and infrastructure best
practices (Tests, Version Controlling,
Documentation).
Experience
with Docker, Kubernetes is a plus.
Industry
experience building end-to-end Machine Learning
Infrastructure a big plus.
Prior
experience in a mature startup a big plus.
Apply
Now (or mail us at
"connect@asqi.in")
