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The SO MLOps Integration Engineer at UOB Bank is responsible for integrating machine learning models into production systems, ensuring seamless deployment and operation. Candidates should have a strong background in software engineering, data science, and machine learning operations. They are expected to collaborate with data scientists and IT teams to streamline model deployment, monitor performance, and maintain system reliability. Proficiency in programming languages like Python and experience with cloud platforms and MLOps tools are essential.
United Overseas Bank (UOB) is a leading bank in Asia, headquartered in Singapore. Established in 1935, UOB has grown to become a major financial institution with a strong presence in Southeast Asia. The bank offers a wide range of financial services, including personal and commercial banking, wealth management, and investment banking. UOB is known for its commitment to innovation and customer service, striving to provide tailored financial solutions to its clients. With a focus on sustainable growth, UOB continues to expand its operations across the region.
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