AI Machine Learning Principal Engineer
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The role
Based in Singapore Design Centre, you will engineer end-to-end, scalable machine learning models using statistics, optimization, software engineering, and data engineering.
Develop and govern ML/NLP solutions focused on performance, quality, data management, and accuracy within regulatory and environmental contexts.
Collaborate with stakeholders across business units, software, and data teams to align data collection, ML methodologies, and governance of model performance.
Optimize code for existing data streams and APIs, implement best practices in ML engineering, model validation, and governance, and educate stakeholders on analytics offerings.
Lead the design and testing of analytical technologies, defining the ML vision, evaluation criteria, and project scope for key market segments.
Proactively identify gaps, work with engineering teams to deliver solutions, and foster partnerships for analytics integrations with external providers.
Develop and govern ML/NLP solutions focused on performance, quality, data management, and accuracy within regulatory and environmental contexts.
Collaborate with stakeholders across business units, software, and data teams to align data collection, ML methodologies, and governance of model performance.
Optimize code for existing data streams and APIs, implement best practices in ML engineering, model validation, and governance, and educate stakeholders on analytics offerings.
Lead the design and testing of analytical technologies, defining the ML vision, evaluation criteria, and project scope for key market segments.
Proactively identify gaps, work with engineering teams to deliver solutions, and foster partnerships for analytics integrations with external providers.
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