Top Artificial Intelligence Jobs in George Town

Develop an AI-enabled capacity and planning insights platform for manufacturing teams. Integrate factory capacity, WIP, production loading, bottleneck, and operational data into a centralized solution. Build interactive visualizations, planning KPI dashboards, scenario evaluation features, and data-driven recommendations to support factory readiness and planning decisions.

Intern will analyze NAND reliability and qualification data, execute wave tests, collect and analyze logs, support failure analysis, and develop AI-driven automation tools. Responsibilities include presenting engineering insights, creating technical documentation, maintaining source code, and demonstrating productivity improvements. The role may also involve developing a GenAI reliability engineering assistant for data analysis, failure identification, knowledge retrieval, and reporting.

Leads Micron’s global leadership and organization capability strategy, including AI-enabled leadership transformation, leadership pathways, enterprise development governance, facilitator ecosystems, assessment-led development, and impact measurement. Partners with senior stakeholders to align leadership initiatives with business priorities, scale learning experiences, improve adoption, and strengthen organizational capability. Uses data, experiential learning, digital enablement, and continuous improvement to enhance leadership effectiveness and transformation outcomes.

Troubleshoots, dismantles, repairs, adjusts, rebuilds, and assembles electro-mechanical manufacturing equipment. Uses diagnostic equipment to identify faults, performs equipment modifications under engineering direction, and supports semiconductor test equipment operations. Applies AI-enabled monitoring, diagnostics, analytics, and generative AI to improve equipment reliability, preventive maintenance, productivity, quality, and technical documentation.

Supports New Product Proliferation qualification activities by tracking lots, executing manufacturing procedures, verifying work quality, monitoring schedules, coordinating cross-functional teams, managing system requests, escalating risks, and maintaining accurate status communication. The role handles multiple qualification projects, uses data analysis and problem-solving skills, follows manufacturing schedules, and maintains a safe, organized work environment.

Leads semiconductor manufacturing governance initiatives across global sites, including frontline stability, equipment auto-trigger strategies, product transfer readiness, Copy Exact alignment, and quality improvement. Develops governance frameworks, dashboards, benchmarks, and standardized workflows while applying manufacturing data, AI, SPC, FDC, and root-cause analysis. Partners with engineering, quality, and manufacturing teams to resolve issues, manage transfer risks, sustain performance, and drive manufacturing standardization.

Maintain and support ELV and critical facility systems, including UPS, access control, networks, solar monitoring, VFDs, PQMS, FMCS, BMS, and SCADA. Lead AI, machine learning, IIoT, predictive maintenance, dashboards, digital twins, intelligent alarming, and smart-facility initiatives. Manage contractors, facility upgrades, CAPEX projects, troubleshooting, root-cause analysis, documentation, and EHS compliance while collaborating with Automation, IT, Cybersecurity, and Facilities teams.

Leads global trade compliance transformation strategy, governance, process standardization, technology implementations, automation, analytics, and AI initiatives. Advises senior leaders, manages enterprise programs, develops risk assessments and business cases, improves compliance systems and data governance, and coordinates cross-functional teams across manufacturing, supply chain, legal, IT, procurement, and logistics. Represents the organization with regulators and industry stakeholders while driving sustainable operational and compliance improvements.

Develop alternate test platforms, characterization and qualification programs, and test algorithms for NAND products. Validate NAND features on high-speed testers, monitor performance during product qualification, conduct electrical failure analysis, investigate device issues, and collaborate with design, application, product, and systems teams. Improve validation methods for higher data rates and customer requirements while applying AI and automation to development workflows.

Own the data marketplace product lifecycle, improving vendor onboarding, submissions, quality feedback, offerings management, and buyer discovery. Partner with engineering, research, GTM, and operations to convert complex requirements into reliable workflows. Define marketplace health and adoption metrics, use qualitative and quantitative insights to prioritize product improvements, and guide launches and iteration in a fast-growing AI startup.

Develop AI-driven products through hands-on software development and product engineering. Build minimum viable products, solve problems creatively, and help shape future AI applications. The role is available remotely or in Boston and Chicago, with contract options ranging from two weeks to three months or full-time, plus potential revenue sharing.

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.

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.

Serves as the physician-level clinical authority for Elsevier Clinical Solutions across APAC. Supports sales engagements, customer presentations, demonstrations, workshops, solution positioning, post-sale adoption, and thought leadership. Advises healthcare organizations on clinical decision support, AI-enabled solutions, workflow integration, evidence-based practice, patient safety, and clinical quality. Translates clinical needs into solution recommendations, supports commercial growth, gathers customer insights, informs product strategy, and promotes responsible AI adoption in healthcare.

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.

Participate in full-stack development and maintenance of Binance’s KYC system, including backend services, frontend features, documentation, testing, regression, troubleshooting, and customer issue resolution. The role is a 3–6 month accelerator internship for current university students and recent graduates, with an emphasis on Java, Spring Boot, databases, middleware, and frontend technologies.

Early-career full stack internship developing frontend and backend features under senior guidance. Integrate AI coding tools into workflows, translate product requirements to implementations, contribute across the product lifecycle, and suggest cross-team process improvements while learning full-stack practices.

Join Welo Data’s contributor network for potential flexible, remote AI projects involving text, image, and audio annotation, search and chatbot evaluation, prompt creation, and cultural or linguistic quality review. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation. Applicants must be English-fluent, detail-oriented, comfortable with digital tools, and based in Malaysia, India, the Philippines, or Indonesia.

Manage the end-to-end onboarding lifecycle for employees across APAC, ensuring compliant documentation, accurate data, and a smooth client and employee experience. Responsibilities include preparing and verifying employment packages, responding to queries, collaborating with Mobility, Benefits, Lifecycle, and Payroll teams, supporting audits and reporting, maintaining knowledge resources, and identifying automation and AI opportunities to improve efficiency and scalability.

Manages the APAC payroll operations function, ensuring accurate, timely, and compliant payroll processing across countries. Leads and mentors the payroll team, manages internal and external stakeholder relationships, oversees third-party payroll providers, monitors international payroll regulations, and implements best practices, KPIs, and SLA metrics. The role requires extensive Australia/New Zealand payroll expertise, global payroll implementation experience, analytical problem-solving, and proficiency with SAP and spreadsheet tools.

Own product areas within AI stockbroking and broader financial services, including defining user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Use research, feedback, experiments, and performance data to launch, monitor, and continuously improve products while balancing speed, user experience, business impact, compliance, and operational complexity.

Leads quality assurance for internal AI products from prototype through production. Develops test strategies, automated functional, API, regression, and AI evaluation tests; assesses output quality, security, performance, integrations, and access controls; supports CI/CD; coordinates user acceptance testing; investigates defects; reports release risks; and mentors junior QA engineers.

Lead the AI payments business end to end, owning P&L, strategy, product direction, team building, execution, growth, revenue, and profitability. Identify customer and commercial opportunities, guide product launches with engineering and design teams, establish partnerships and operations, and scale the business. The role requires strong product and commercial judgment, cross-functional leadership, hands-on execution, and experience building or scaling products, businesses, or business units.

Lead an AI-native email app business end to end, owning P&L, strategy, product decisions, team building, execution, growth, revenue, partnerships, and profitability. The role requires working closely with product, engineering, design, operations, and commercial teams to launch and scale the business from a Malaysia-based hybrid office.

Drive CEO-level priorities for an AI neobank across product, hiring, licensing, partnerships, market expansion, and daily operations. Track OKRs, decisions, blockers, owners, and deadlines; prepare briefs and updates; coordinate cross-functional teams; identify execution gaps; and resolve urgent business problems. The role requires strong ownership, structured thinking, clear English communication, sound judgment, and the ability to operate effectively amid ambiguity and shifting priorities.