Top Artificial Intelligence Jobs in Malaysia

Supports the Test Engineering team in developing a systematic qualification and data review process for relocated SMT6 semiconductor testers. Responsibilities include defining setup datasets, capturing configuration and qualification evidence, creating review workflows, tracking issues, developing reporting dashboards, and piloting AI-assisted checks for missing data, anomalies, trends, and failure signatures. The intern will help standardize tester setup documentation, qualification readiness, release decisions, and reusable engineering playbooks.

Develop an automated PPJ performance tracking solution for Site Test Equipment Engineering. Extract and consolidate database data, generate Power BI trend charts, map equipment IDs and alarm codes to faulty parts, and enhance dashboard filtering by test platform, DID, equipment, and alarm category. Prepare documentation and user guidance for adoption and maintenance. Potential stretch work includes scheduled refreshes, abnormal-performance alerts, and root-cause analysis views.

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.

Owns post-deployment adoption, value realization, and expansion for strategic Private Cloud AI customers across APAC. The role provides enterprise AI architecture guidance, discovers GenAI use cases, leads technical and executive reviews, identifies expansion opportunities, and develops scalable customer-engagement playbooks. It combines hands-on AI expertise with technical sales, commercial judgment, account management, and frequent customer travel.

Develop and deploy production-ready AI and machine learning solutions for operations, sales, and service use cases. Responsibilities include data preparation, feature engineering, model development, validation, deployment, monitoring, governance, and retraining. The role also involves exploratory analysis, proof-of-concept development, collaboration with data engineers and stakeholders, and communicating technical insights to business audiences.

Lead go-to-market activation for AI business solutions across ASEAN. Drive sales and marketing alignment, pipeline acceleration, demand generation, field enablement, partner-led marketing, product leadership, performance measurement, and execution of strategic priorities. Collaborate across sales, marketing, consulting, customer success, operations, and partner teams to identify growth opportunities, improve processes and tools, activate sellers, and use data-driven insights to optimize customer and partner engagement.

Supports AI impact assessments by reviewing forms, gathering information on AI use cases, data, and models, conducting basic risk analysis, preparing reports and trackers, monitoring assessment progress, maintaining audit documentation, and improving templates and processes.

Drive new-logo acquisition and expansion across Napier AI’s Asia-Pacific client base. Build territory plans, develop senior relationships within financial institutions and regulated organizations, manage complex enterprise sales cycles, deliver proposals and business cases, navigate procurement and legal processes, negotiate commercial terms, and partner with internal teams on upsell, cross-sell, renewals, and customer growth.

Manages credit risk across customer portfolios by reviewing financial information, assessing creditworthiness, recommending credit limits, monitoring exposure and payment performance, maintaining credit records, and resolving account issues. The role prepares risk reports, reviews orders, ensures compliance with financial controls and Sarbanes-Oxley requirements, collaborates with cross-functional stakeholders, approves credit proposals, and supports process improvements and team leadership.

Leads APAC Data and AI enablement by aligning regional business priorities with enterprise technology strategy. Translates business problems into scalable use cases, roadmaps, and measurable outcomes; partners with platform, data science, engineering, risk, compliance, and operations teams; drives adoption and value realization; and builds responsible AI capabilities through training, governance, champion networks, and reusable practices.

IT internship supporting end users, desktop and mobile platforms, hardware, operating systems, networks, remote connectivity, messaging, and service desk operations. Responsibilities include diagnosing and triaging technical issues, resolving tickets remotely, monitoring queues, documenting solutions, and supporting infrastructure and modern workplace projects. Candidates must be enrolled in a computer-related degree or diploma program and communicate effectively in Mandarin and English.

Leads end-to-end Record-to-Report process architecture across 16 European and APAC markets. Owns standardization, IFRS-compliant continuous close, SAP S/4HANA optimization, automation, AI adoption, internal controls, and SSC governance. Manages and develops the regional R2R team while partnering with IT, accounting, tax, audit, and finance leadership to deliver large-scale transformation and improved reporting accuracy.

Leads complex Microsoft consulting engagements and programs, owning project execution, financial performance, profitability, forecasting, contractual commitments, customer satisfaction, risk management, governance, escalations, compliance, and senior stakeholder relationships. Manages project teams and cross-functional collaboration while delivering cloud and digital transformation outcomes, improving consumption growth, and ensuring predictable, high-quality delivery across a portfolio of customer engagements.

Leads enterprise AI transformation across banking business units, identifying use cases, developing strategies, and overseeing AI projects from proof of concept through deployment and monitoring. Collaborates with business, data science, engineering, and IT teams; evaluates technologies and vendors; establishes responsible AI governance; mentors specialists; and presents business cases and recommendations to senior management.

Execute risk-based IT audits across systems, applications, cloud, infrastructure, and information security processes. Assess controls, document findings, support remediation, and advise on technology initiatives. Participate in AI, analytics, automation, and digital transformation engagements while improving audit methodologies and efficiency. Collaborate globally with technical and non-technical stakeholders to identify risks, control gaps, and operational improvements.

Lead Optasia’s APAC sales organization, developing regional strategy, driving revenue and market expansion, and building strategic partnerships with mobile network operators, mobile wallets, fintechs, digital banks, and financial institutions. The role manages senior stakeholder relationships, leads and scales the regional sales team, monitors market and regulatory trends, oversees forecasting and pipeline performance, supports proposals and RFPs, and represents the company at industry events.

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.

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.

Drive enterprise business development and solution sales for AI and IT outsourcing services across APAC. Responsibilities include prospecting strategic accounts, building sales pipelines, leading consultative discovery, translating AI capabilities into business value, negotiating complex solution contracts, developing cloud and technology partnerships, and closing five-figure to six-figure deals. The role requires technical fluency in AI concepts, engagement with technical and business executives, and collaboration with architects, marketing, and product teams.