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Remote, IndiaIndia & South Asia
As the Senior Risk Tools & Automation Lead, you will own the end-to-end agent experience for risk and fraud operations.
San Jose, California, United StatesNorth America
(3-4 sentences of the hiring team and the opportunity) (3-4 sentences of the hiring team and the opportunity).
Chennai, TN, IndiaIndia & South Asia
As a Senior MLOps Engineer, you will collaborate with Data Scientists, Software Engineers, Product Owners, and Architects to design, build, deploy, and operate scalable…
New York, United States; San Jose, California, United StatesNorth America
We are seeking a Model Risk Director focused on Fraud and AI to join OKX’s Model Risk Management (MRM) function.
Bangalore, INDIndia & South Asia
We are looking for a Principal Machine Learning Engineer to join our team. In this role, you will be responsible for leading the development and implementation of…
We build cutting-edge AI technologies across the end-to-end search ranking product stack w.r.t. data pipelines, feature and model innovations, serving and…
Bengaluru, IndiaIndia & South Asia
As a Staff Software Engineer and a founding member of the Bengaluru team, you'll be the team's technical lead.
As the founding leader of Applied AI Solutions Architecture in Singapore, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products…
Bengaluru, IndiaIndia & South Asia
As a Senior Software Engineer and a founding member of the Bengaluru team, you'll design and build the backend systems behind these products and take them from design…
Sunnyvale, CA, United StatesNorth America
Architect, design and validate multi-modal deep learning and Timeseries Foundation Models (TSFM) to work with multivariate time series signals. Must have a grasp of both…
Bengaluru, IndiaIndia & South Asia
The Machine Learning (ML) Practice team is a highly specialized customer-facing ML team at Databricks facing an increasing demand for Large Language Model (LLM)-based…
Sunnyvale, CA, United StatesNorth America
Architect, design and validate multi-modal deep learning and Timeseries Foundation Models (TSFM) to work with multivariate time series signals