What are the responsibilities and job description for the MLOps Engineer position at Thomson Keene?
Our client, a Tier 1 Investment Bank, is looking for mid- and senior-level AI/MLOps Engineers to build the platform for front office quant and strat teams to develop, deploy, and productionize next-generation trading models. This is a greenfield role that aims to improve AI-driven trading performance and scale platform capabilities through creating bespoke GenAI tools.
Applicants should have:
- 5-10 years in AWS data engineering & machine learning technologies, particularly SageMaker
- Strong programming skills in Python (exposure to Java is a plus)
- Experience with applying GenAI concepts and managing an on-prem Kubernetes platform within Front Office and/or Capital Markets environments
Salary : $150,000 - $250,000