At Permutable AI, we're building intelligent systems to automate market analysis using advanced NLP and multi-LLM frameworks. Our goal is to dramatically accelerate how financial information is processed, understood, and acted on, enabling faster, smarter decisions for financial analysts. As a small, ambitious startup, you'll work directly with our founder and a core team of talented engineers to drive innovation.
What You'll Do
Design & Deploy
production-grade LLM pipelines - from model training and evaluation through continuous monitoring and scaling.
Build & Optimise
AI models in Python: fine-tune state-of-the-art architectures on our in-house GPU cluster.
Orchestrate Workflows
with Apache Airflow: schedule, monitor, and maintain complex data and model pipelines.
Engineer Cloud Services
on AWS (Lambda, ECS/EKS, S3, Redshift, etc.) and automate deployments using GitHub Actions & Pulumi.
Collaborate & Brainstorm
with our engineering team - we frequently communicate ideas to innovate, plan strategy and decide on next steps.
Own Your Responsibilities
: Your work will directly affect our product and be deployed into production.
What We're Looking For
2-3 years of professional AI/ML engineering experience
Have you completed the coding assessment? https://coderbyte.com/sl-candidate?promo=permutabletechnologiesl-8ys6i:data-science-as-egno-7kcdgaq&invb=user2z6tjpfy
Do you have 2-3 years professional experience as an AI Engineer?
Have you graduated in within the last 4 years?
How many years of professional experience do you have in Python programming?
Work Location: In person
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