Develop, implement, and oversee comprehensive risk management programs for AI security, ensuring alignment with the firm’s overall risk appetite and regulatory requirements.
Evaluate clinical EHR vignettes paired with a question, a proposed answer, and a distractor "trap" answer across diagnosis and treatment tasks, spanning cardiovascular, nervous, hematologic, respiratory, digestive, urinary, reproductive, musculoskeletal, and integumentary systems;
Evaluate clinical EHR vignettes paired with a question, a proposed answer, and a distractor "trap" answer across diagnosis and treatment tasks, spanning cardiovascular, nervous, hematologic, respiratory, digestive, urinary, reproductive, musculoskeletal, and integumentary systems;
Design, develop, test, deploy and maintain enterprise-grade applications using Java with Quarkus and/or Spring Boot, Python, React, TypeScript and RESTful APIs.
Mobilise each engagement. You convert the proposal and statement of work into a release plan, a prioritised backlog, milestones, acceptance criteria, a responsibility matrix and a governance cadence agreed with the client.
Lead Product Bring-Up: Lead new products from R&D into mass production. Work closely with cross-functional teams to improve product yield, lower manufacturing costs, and ensure customer satisfaction.
A leading ecommerce and digital solutions provider operating across Southeast Asia is looking for a Head of AI & Data to lead the evolution of its data and analytics capabilities into an AI-driven intelligence platform.
Execute the roadmap for AI applications spanning guest experience, staff productivity, and corporate process augmentation, including conversational assistants, retrieval-augmented generation systems, and purpose-built AI tools.
Build End-to-End Applications: Design, build, and maintain features across the entire stack, from reactive user interfaces to scalable backend microservices.
Own end-to-end change management for major AI capability deployments - from initial stakeholder mapping and impact assessment through to sustained adoption tracking, workflow telemetry, and continuous improvement.
Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
Product Engineering and Development: Design, develop, test, deploy, and maintain internal products, APIs, backend services, data workflows, and product integrations.
Collaborate with cross-functional teams to design, develop, and implement AI features, focusing on areas like natural language processing, data analysis, and predictive modeling.
Define and own the company-wide architecture for AI and data infrastructure, spanning data acquisition, storage, processing, applications, and AI services across on-premise and cloud.