Our Partner is an innovative technology start-up company working with large UK & US based platforms. They are dedicated to enhancing the understanding and utilization of data, leverage vector embeddings to provide fresh perspectives for data analysis, enabling data professionals to work more efficiently and effectively in the long run. Their goal is to extract more value from data and see it from a new perspective.
You have worked with multiple cloud providers (AWS, GCP, Azure) and have written IaaS solutions before (Terraform). You have experience in Python and have worked with MLOps solutions in the past (MLFlow, Airflow, Weight&Biases, CometML). You are keen on establishing an automated pipeline (Github Actions, Coverage Reporting, Docker).
Compile Our Client's own framework elements to IaaS code that can deploy, scale and monitor the services that are necessary to process millions of vectors at scale and recalculate embeddings when the configuration changes.
Own the production constraints
You will establish best practices and processes that will ensure that every developer works with constraints in place that makes creating production ready code as close to reality as possible.
Package of Our Client into the GCP/Databricks Marketplace
Some of their largest clients need them to run in their cloud platform account, instead of using our hosted version. You would fully own the process of packaging and configuring the cloud platform to offer something as close as possible to a 1-click install.
Help form the basics of DevOps to ensure continuous integration and delivery across all branches of development.
An innovative and agile company culture
Opportunity to use cutting-edge technologies and take part in the development of innovative AI tools
Competitive salary and generous equity to directly participate in the success
Great team building events