Learn and deeply understand the core features, target users, and usage scenarios of multiple AI tools (e.g., writing, image, voice), and conduct prompt design and iterative tuning based on real-world workflows.
Responsible for designing, building, and operating scalable data ingestion, transformation, and serving capabilities across a modern hybrid cloud data platform, ensuring solutions are reliable, secure, reusable, and aligned to enterprise architecture and governance standards.
Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.
Lead a team of young and bright MLOps Engineers in conducting research, design, and prototype MLOps practices, tools, and frameworks to expedite the machine learning lifecycle at MoneyLion.
Oversee the various line of efforts with the multifaceted teams, including the research, product management, data science, to curate and chart AI strategies for the respective Centres of Excellence (COEs)
Research and develop existing computer vision algorithms and incorporate novel techniques or create new algorithms from ground up to solve desired use cases
Build AI-Powered Engineering Platforms: Design and develop internal developer platforms, including AI gateways, agent orchestration frameworks, retrieval systems, and reusable engineering services that enable product teams to safely and effectively leverage AI.
Build assistive animation tooling, drawing on motion synthesis, motion matching/blending, retargeting, and physics-based character control, to remove mechanical steps from the animator’s workflow.