Top Artificial Intelligence Jobs in Malaysia

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.

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.

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 pre-sales and solution development for AI-driven customer engagements. Translate AI and ML capabilities into business value, build demos/POCs, support sales and architecture activities, engage C-level stakeholders, mentor technical teams, and collaborate with partners to create profitable, cross-practice solutions.

Assist the IT audit team with control tests, support data requirements, research technologies, and provide recommendations for enhancements.

Perform portfolio analytics and scorecard model development for capital and provisioning. Conduct Basel EL and RWA analysis, regulatory stress testing, forecasting, reporting, dashboard development and automation. Support systemisation, UAT/regression testing, stakeholder engagement and continuous process improvements using Python and visualization tools.

The Process Engineer manages process engineering activities for manufacturing, focusing on cost, quality, and delivery improvements, troubleshooting, and implementing process control methodologies.

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.

Lead supplier quality analytics for outsourced foundry, assembly and test partners. Build and maintain ELT pipelines, implement data validation and governance, create real-time dashboards (Spotfire/PowerBI), perform statistical analysis to detect drifts and defects, and drive continuous improvement and corrective actions. Support weekend rotation.

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.

Work within the WB Portfolio Management Unit to develop scorecard models, perform portfolio analytics (Basel EL/RWA), forecasting, regulatory stress testing, reporting, dashboard development and automation, stakeholder engagement, UAT/regression testing, and support systemisation initiatives using Python and visualization tools.

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.

Lead APAC industry-level product management for Advanced Analytics & AI. Own P&L and commercial growth, shape GTM, drive client adoption, partner with product, BD and delivery teams, influence roadmap, and provide industry thought leadership.

Designs and delivers sales learning and enablement across APAC, collaborating with Product, Marketing, Customer Success, and Sales. Creates training content, manages vendors, tracks effectiveness metrics, drives AI and digital adoption, and improves productivity through automation and analytics.

Lead the implementation of Technology Risk Management initiatives, conduct risk assessments, support incident response, and promote a risk-aware culture.

As a Technology Analyst Intern, you will work on RPA and AI solutions, analyze business needs, and support implementation projects involving automation technologies.

Lead a team designing, delivering, and scaling AI and automation solutions across Azure and Microsoft 365. Manage hybrid identity, Azure operations, M365 administration, security/compliance, on-prem servers, vendor relations, and AI strategy (Copilot, OpenAI, Cognitive Services). Oversee governance, POCs, and enterprise adoption while providing L2/3 support and project delivery.

Lead and execute AI-driven consumer product initiatives for search, recommendations, personalization, and conversational experiences. Collaborate with engineering, design, data, and business teams to define requirements, use data and user feedback to refine products, and deliver improvements within the contract period.

Build and ship AI-native systems for BJAK's Neobank: AI agents, LLM-driven apps, RAG/retrieval systems, automations for onboarding, KYC, support, risk and operations; work with product and engineering to deploy reliable, secure, low-latency solutions and convert manual processes into scalable AI-enabled systems.

Build end-to-end customer-facing and internal features for an AI Neobank app: web flows, backend APIs, admin tools, dashboards, and operational systems. Integrate APIs, handle data flows, improve production reliability, use analytics and feedback to iterate, and reduce manual work with tooling. Collaborate with product, design, mobile, and operations teams.

Build and productionize AI-native workflows, assistants, agents and automation across neobank products. Integrate LLMs with internal data, APIs and knowledge bases; design evaluation, monitoring, and fallback flows; prototype, test with users, then ship reliable, scalable systems for customer support, onboarding, payments and operations.

Build backend services, APIs and workflows for BJAK's AI Neobank app across insurance, payments, wallet, savings, investing and travel. Design systems for user accounts, transactions, partner integrations, reconciliation, notifications and operations. Collaborate with product and mobile teams to ship customer journeys, and improve reliability, observability, security and compliance for regulated financial products.