Job Title: Founding Data/ML Ops Engineer
Summary:
We are seeking a highly skilled and ambitious Data / Machine Learning Operations Engineer to join our early team at Synthera AI. As a Founding Data/Machine Learning Operations Engineer, you will have the opportunity to make a direct impact on the company's growth and trajectory from day 1.
Salary: £80,000 - £100,000 per annum
Description:
Key Responsibilities
* BUILD AND MAINTAIN OUR CORE DATA INFRASTRUCTURE AND HIGH-THROUGHPUT DATA PIPELINES FOR HISTORICAL AND SIMULATED MARKET DATA
* DEVELOP MLOPS PIPELINES TO SUPPORT OUR PROPRIETARY GENERATIVE AI MODELS
* INTEGRATE OUR SOLUTION INTO CLIENT WORKFLOWS (HEDGE FUNDS, ASSET MANAGERS, ETC.) AND LEADING RISK PLATFORMS
* SET UP AND OPTIMIZE CI/CD WORKFLOWS AND INTEGRATE WITH MARKET DATA PROVIDERS
Requirements
* MINIMUM OF 3 YEARS (IDEALLY 5+ YEARS) OF EXPERIENCE AS A DATA ENGINEER OR MACHINE LEARNING ENGINEER
* PROFICIENCY WITH CLOUD PROVIDERS, IDEALLY AWS
* EXPERIENCE WITH DOCKER, DATABASES, AND DATA PIPELINE DEVELOPMENT
* FAMILIARITY WITH ML TOOLING (E.G., MLFLOW, PYTORCH, ETC.)
* SOME EXPERIENCE WITH API DESIGN AND MODEL DEPLOYMENT IS A PLUS
* STRONG PROFICIENCY IN PYTHON
About Us
We are building proprietary machine learning models to simulate financial time series data, in particular publicly traded assets, starting with yield curves (and expanding to FX, commodities, equities and beyond).
Our synthetic data engine allows investors and risk managers to test out thousands of highly realistic market scenarios, uncover complex correlations and more accurately capture tail risks, ultimately enhancing hedging strategies and improving risk-adjusted returns for asset managers, hedge funds, banks, insurers and other financial institutions.
We recently closed our VC backed pre-seed round and are participating in the deep tech accelerator CDL and in Plug and Play's Silicon Valley accelerator. In addition, we have active research partnerships with UCL, Oxford, and Berkeley and are advised by a global leader in our field, Oxford Professor Rama Cont.
Personal Growth and Upside Opportunities
As an early team member, you will receive equity with significant growth potential as the company scales. You will have a pivotal role with increasing responsibilities, including the opportunity to lead a team as we expand.
Flexible Work
Although we strongly believe in person collaboration, we also believe in flexibility. That is why we are offering employees the option (if desired) to work from abroad for a few months per year.
Work with Global Leading Experts
You will have the opportunity to work directly with our Scientific Advisor, Professor Rama Cont from Oxford, who is the global leading expert in this technology.