Provide expert guidance on problem framing, data preparation, feature engineering, algorithm and model selection, experimental design, validation, explainability and performance trade-offs.
Design and review architectures for machine learning, forecasting, optimisation, generative AI, retrieval-augmented generation and agentic AI, selecting approaches based on accuracy, latency, scalability, maintainability, risk and cost.
Lead solutions from proof of concept to production, covering data pipelines, APIs, MLOps/LLMOps, versioning, CI/CD, observability, retraining, rollback, security and enterprise integration.
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· Strategic Governance: Lead committees and facilitate consensus among member companies to align with PhAMA’s objectives.
· Stakeholder Engagement: Develop and implement strategies to lead external engagements with relevant government and broader stakeholders (i.e. industry, healthcare partners) operating within the Malaysian Healthcare ecosystem.
Ensure the TPRM programme supports "adequate procedures" expectations under global anti‑bribery, sanctions, and financial crime frameworks
Support remediation actions, conditions of engagement, and contractual controls where third‑party risks are identified, working with Legal and Procurement