Drive strategic planning, governance, and stakeholder management by developing and implementing a roadmap for AI and GenAI initiatives, establishing governance frameworks and policies, monitoring compliance, and engaging with business leaders, IT teams, and other stakeholders to promote the benefits of AI technologies.
Project backgroundMessenger RNA (mRNA)-based therapeutics, including vaccines, represent a transformative class of drugs for infectious diseases and cancer immunotherapy. Their programmable nature allows rapid adaptation to evolving pathogens and personalized medicine, but effective design of mRNA molecules remains a key bottleneck. Current development relies on trial-and-error methods, leading to long timelines, high costs, and suboptimal outcomes.This project aims to develop an agent-based generative AI system to design both linear and circular mRNA molecules. By unifying the design process into a data-driven, adaptive pipeline, the system will optimize vaccine stability, minimize unwanted immune responses, and accelerate early-stage research and development from months to hours. The outcome will be a robust, scalable platform for creating effective mRNA vaccines for infectious diseases, cancer, and beyond.
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.
Up till $4500 to $7000 basic + Transport Allowance + Handphone Allowance (To be discussed during the interview) + Variable Bonus (salary will commensurate according to experience & qualifications)
The role is responsible for the end-to-end commercialisation of TradeXpress products and their phased rollout across all 38 markets through 2030. Working with country teams and relevant Product, Digital Channel Service, Coverage, Sales and Operations stakeholders, the role selects pilot clients, coordinates readiness and communications, oversees client enablement and migration, and resolves or escalates issues affecting adoption.
Define enterprise AI reference architectures, AI platform standards, reusable solution patterns, and technical roadmaps aligned to FEO’s AI strategy, enterprise architecture, cybersecurity, data governance, and business priorities.
The role is responsible for the end-to-end commercialisation of TradeXpress products and their phased rollout across all 38 markets through 2030. Working with country teams and relevant Product, Digital Channel Service, Coverage, Sales and Operations stakeholders, the role selects pilot clients, coordinates readiness and communications, oversees client enablement and migration, and resolves or escalates issues affecting adoption.
Lead the research and development of AI training and inference acceleration algorithms for Agentic AI and Multimodal domains, specifically optimized for next-generation AI compute architectures to maximize compute efficiency and utilization.
Design, build, and maintain ML infrastructure and tooling to support the full ML lifecycle (data preparation, training, evaluation, deployment, monitoring, and retraining).
Anchor commercial transactions across all business lines - structuring, research, drafting, negotiation and execution of legal agreements and documents.
Support in building and improving an evaluation algorithm that learns from past human decisions to assess the quality of new AI suggestions and identify when human review is required.