Top Artificial Intelligence Jobs in George Town

As an IT Field Service Technician, you'll troubleshoot computer issues, provide first-level support, perform installations, and maintain system compliance while ensuring excellent customer service.

Conduct comprehensive physical security evaluations of semiconductor fabs and related facilities, identify vulnerabilities across people/processes/technology, produce detailed assessment reports, recommend mitigations, and partner with site leadership to implement corrective actions while supporting supplier reviews and continuous improvement.

The Customer Success Operations Specialist drives customer satisfaction, optimizes order processes, builds internal relationships, and collaborates on strategic objectives while leveraging AI technologies to improve efficiency.

The Sr Category Supplier Manager will drive category management and strategic sourcing initiatives, enhance supplier relationships, negotiate contracts, and provide cost management analysis to improve cost-effectiveness and supply chain efficiency.

Lead SSD equipment roadmap and development, drive automation upgrades (SECS/GEM, MES, databases), improve UPH and yield, support APC/ML initiatives, collaborate with IT and automation teams, and manage new equipment budgets.

Manage a team of UAT testers, implement test strategies, ensure quality assurance, oversee testing processes, and foster collaboration across teams.

Manage a team of UAT testers, develop test strategies, oversee both manual and automated testing, and ensure quality assurance processes. Collaborate with cross-functional teams and implement improvements in QA methodologies.

The intern will focus on managing big data, developing dashboards, and utilizing AI for analysis within the organization.

Drive net-new enterprise sales of digital transformation solutions for logistics and supply chain customers. Prospect and close high-value deals, co-sell with hyperscalers, lead complex negotiations, coordinate cross-functional teams, and position AI/IDP/automation solutions to modernize logistics workflows.

Early-career software engineer role contributing backend/full-stack feature development, testing, CI/CD, and production releases. Collaborate on API/module design, system integration, and deployment. Support engineering of AI/LLM features (LLM APIs, basic RAG, embeddings/agents), maintain datasets/benchmarks, track performance, debug issues, and produce technical documentation.

Lead design, development, testing, and App Store submission of production-scale iOS features in Swift. Collaborate cross-functionally, enforce code quality via reviews and refactoring, maintain technical documentation, and adopt AI-assisted tooling to improve productivity across large, user-facing modules.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

Drive strategic execution for BJAK's finance super app expansion: establish operating rhythms, manage OKRs, coordinate cross-functional workstreams, prepare leadership and board materials, identify risks/dependencies, enable prioritization and trade-offs, and lead high-impact special projects requiring senior judgement.

Operate within the CEO Office to translate CEO priorities into execution across product, licensing, hiring, partnerships and market launches. Track OKRs, blockers, owners and deadlines; prepare briefs, follow-ups and action trackers; identify execution gaps and own cross-functional urgent problems across product, engineering, finance, legal, compliance and country teams.

Build and productionize AI-native systems for a finance super app: integrate LLMs, agents, RAG, and internal data to automate workflows across support, CRM, onboarding, claims, payments and ops. Prototype, evaluate, monitor, and deploy reliable AI assistants and automation with guardrails and operational integrations.

Design and build backend services, APIs and workflows for a finance super app. Support products across insurance, payments, wallet, savings and investing. Integrate with banks, payment gateways and partners. Improve reliability, observability, security, performance and auditability. Collaborate with product, mobile and operations teams to ship and operate production systems.

Build and ship native Android features in Kotlin for a finance super app. Create clean user flows, integrate backend APIs, improve performance and reliability, use analytics to iterate, and implement AI-assisted on-device experiences where beneficial.

Build and ship native iOS features for a finance super app using Swift. Design clean user flows for insurance, payments and financial services, integrate backend APIs, improve performance and stability, use analytics and on-device ML where helpful, and collaborate with product and design to deliver high-quality mobile experiences.

Build and ship Android and/or iOS features across a finance super app, collaborate with product, design and backend teams, integrate APIs, handle edge cases and production issues, and improve app performance, UX and reliability while supporting fast experiments and launches.

Build end-to-end customer-facing and internal product features for a finance super app: web flows, backend APIs, admin tools, dashboards, integrations, and production reliability. Collaborate with product, design, mobile and ops to launch, iterate using analytics and handle production support.

Lead product areas within a finance super app, define problems, scope, metrics and roadmaps; work cross-functionally to launch, monitor and iterate on features for insurance, payments, savings, investing and travel.

Lead product direction, roadmaps, standards and success metrics across major finance super app areas. Guide PMs, designers and engineers, manage launches, iterate post-launch, balance regulatory and operational constraints, and drive product quality and outcomes across payments, savings, investing, insurance and travel.

Seeking detail-oriented reviewers for AI training projects, evaluating outputs, generating content, and ensuring cultural relevance. Requires strong analytical skills and attention to detail.

Reviewers will evaluate AI prompts and outputs, correct texts, analyze multimedia, and provide feedback based on cultural relevance and accuracy.

The Software & AI Platform Engineer designs and develops software platforms for automation and AI-driven operations in semiconductor manufacturing, facilitating data processing and real-time analytics while collaborating with cross-functional teams.