Talentedge is seeking an experienced ML DevOps Engineer to design and scale the machine learning infrastructure powering trading systems. You will build end-to-end pipelines and a scalable feature store, enabling data scientists to train, backtest and deploy models against petabytes of time-series data in a high-performance environment.
The role emphasizes reliability, observability, and collaboration with engineering and research teams to integrate ML workloads with data capture and execution
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