MLOps Engineer - Multi-Cloud Pipelines & Cost Optimization

A global financial services company based in Singapore is looking for a motivated engineer to bridge Data Science and AI Engineering. This role includes architecting multi-cloud solutions, managing MLOps lifecycles, and ensuring efficient DataOps pipelines. Candidates should have over 5 years of experience and a Bachelor's degree in Computer Science or Engineering. The position offers a chance to work with cutting-edge technology in a dynamic environment.
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