Top Artificial Intelligence Jobs in Malaysia

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.

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.

Leads consumer experience, communications, media strategy, and activation across Malaysia, Singapore, and Thailand. The role manages end-to-end media planning, buying, budgets, agency relationships, measurement, optimization, and cross-functional stakeholder alignment across multiple brands. It drives integrated paid, owned, and earned media strategies, applies data and AI to improve targeting and ROI, establishes KPIs, and elevates digital marketing capabilities within a complex regional organization.

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.

Analyze large-scale transactional, operational, and customer datasets; build visualizations, machine learning models, and experiments; translate complex findings into clear recommendations for operational teams and executives; and apply analytical software, databases, visualization tools, and programming languages in a fast-paced blockchain environment.

3–6 month internship supporting risk operations: monitor KRIs and case trends, assist investigations and case analysis, escalate findings, and help optimize AI/LLM tools, automation, and alerting workflows.

Leads enterprise-wide business analysis and digital transformation initiatives across Operations. Responsibilities include gathering requirements, mapping processes, developing business cases, redesigning customer experiences, identifying AI and automation opportunities, managing transformation roadmaps, influencing senior stakeholders, supporting solution delivery, and tracking governance, performance, risks, and benefits realization.

Serves as the Enhanced Due Diligence subject matter expert, improving research content, methodology, risk scoring, sanctions screening, report writing, templates, and training. Supports complex client requirements, pre-sales activities, issue resolution, product testing, knowledge management, and database maintenance. Delivers training and workshops, partners with technology and product teams, and may supervise junior staff. Requires expertise in KYC, AML, ABAC, third-party risk, global due diligence regulations, analytical writing, and Microsoft Office.

Supports AI-powered transformation by identifying automation opportunities, assessing data readiness, evaluating models, developing prototypes, and coordinating UAT and pilots. The role contributes to prompt engineering, performance and safety monitoring, deployment readiness, documentation, dashboards, compliance, and adoption of AI workflows. It also maintains use-case backlogs, versioned artifacts, audit-ready records, and feedback loops while building foundational AI knowledge.

Own strategic customer relationships and influence buying decisions for Cisco AI architectures. Lead technical proof-of-concept and proof-of-value engagements, develop proposals, guide architectural strategy, forecast opportunities, shape account plans, and collaborate with engineering and sales teams. Advise C-suite stakeholders on digital transformation, competitive dynamics, long-term technology solutions, and business outcomes while driving revenue growth, customer success, and market expansion.

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

Designs and develops AI and machine learning systems using cloud AI services, scalable data pipelines, DevOps, and MLOps. Applies deep learning and generative AI models to business use cases across cloud, edge, and high-performance computing environments. Works with large datasets, improves data quality, develops AI and HPC algorithms, and implements model and knowledge storage and retrieval systems.

Leads global technical training, competency management, LMS governance, process standardization, audit readiness, and workforce development across semiconductor manufacturing sites. Partners with training teams, engineering, HR, and subject matter experts to develop curricula, manage qualification frameworks, monitor compliance dashboards, identify capability gaps, and implement corrective actions. Oversees cross-functional training projects and supports digitalization, automation, continuous improvement, and learning-system enhancements across global fabs.

Senior in-house legal counsel responsible for commercial contracts, litigation and disputes, legal operations, LFSA licensing and regulatory matters for Labuan-based entities. The role involves interpreting regulatory requirements, providing practical legal guidance, managing external counsel, developing scalable contract governance processes, and partnering with engineers to automate legal work using AI. The counsel will work independently across jurisdictions and balance legal risk with commercial objectives.

Handle inbound/outbound customer calls, resolve inquiries and complaints, process requests and transactions, document interactions, meet quality and productivity targets, and collaborate to improve customer service processes. Provide timely, accurate information about products and services while maintaining a customer-first mindset.

Handle inbound/outbound customer calls and live chats, resolve inquiries and complaints, process requests/orders, document interactions, meet performance targets, and collaborate to improve service.

Handle inbound/outbound customer calls and live chats, resolve inquiries and complaints, process orders/transactions, document interactions, meet performance targets, and collaborate to improve service.

Leads governance, standardization, customer implementations, process improvement, systems adoption, and performance management across 4PL, order management, and buyer’s consolidation services. Develops SOPs, training materials, and governance frameworks; coordinates operational readiness and transitions; monitors KPIs; resolves escalations; and supports supply chain analytics, automation, AI initiatives, master data governance, and system adoption. Collaborates with customers, operational teams, and regional stakeholders to build scalable global supply chain capabilities.

A 12-month graduate program offering rotations across Technology and Analytics teams. Participants gain hands-on experience with business projects, mentorship, structured learning, and training in AI, Generative AI, data, and analytics. The program is designed for final-year students or recent graduates with degrees in Computer Science, Data Science, Mathematics, Engineering, or related fields, helping them build technical expertise, digital fluency, adaptability, collaboration, and innovation skills.

Sustain and improve semiconductor production processes through SPC/FDC monitoring, troubleshooting, CPK improvement, recipe development, process qualification, and tool release. Lead continuous improvement initiatives using statistical analysis, big data analytics, AI/ML, and structured problem-solving to improve wafer yields, productivity, cost, capacity, and process robustness. Collaborate with cross-functional teams, fabs, and equipment suppliers, while training and guiding Associate Engineers.

Manage corporate treasury activities including cash forecasting, daily liquidity positioning, bank account administration, intercompany loans, KYC compliance, internal controls, credit and guarantees, financial reporting, audits, banking relationships, and process improvement. The role also supports strategic treasury projects and uses AI and machine learning tools to optimize operations.

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.

Lead SIP/SSD equipment roadmap and technical development for new and upgraded machines. Improve UPH and yield, standardize automation software and SECS/GEM and database integration with MES, support automation performance and IT collaboration, enable APC/ML/AI-enabled light-off automation, and manage equipment project budgets.