Top Artificial Intelligence Jobs in Malaysia

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.

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

The AI Governance Consultant will design and implement ethical AI frameworks, advise on regulatory compliance, and facilitate stakeholder workshops to enhance governance in financial institutions.

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.

The role involves managing wafer production control, coordinating with teams for operational plans, optimizing WIP movement, and improving fab performance metrics.

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.

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

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.

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

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.

The Account Executive is responsible for managing key accounts, growing revenue, and enhancing customer relationships by understanding client needs and aligning SUSE's offerings to meet those needs.

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

The role involves creating SEO, CRO, and GEO-optimized content for the Australian market, leveraging AI tools and ensuring high editorial quality for improved organic traffic and conversions.

The Automation Analyst will design and implement AI-driven automation solutions, leverage GenAI and LLMs, and optimize business processes while collaborating with stakeholders.

Design, develop, and deploy AI-driven applications (LLMs, RAG, agentic AI, MCP) and REST APIs. Build backend components, data pipelines, and relational storage. Implement solutions in Python/C++/C#, use Git/GitHub workflows, perform prompt engineering, model evaluation, troubleshooting, and collaborate with cross-functional teams to automate workflows.

Lead development and deployment of AI-driven smart factory solutions (command & control, decision analytics, image AI, real-time analytics). Build a factory "digital brain" (chatbot, training, control), integrate models into machine control, run big-data analytics, mentor trainees, and ensure 24/7 solution availability while driving investment discussions and external innovation partnerships.

Support data pipelines and ML workflows for manufacturing: apply computer vision and ML to detect defects, build and deploy models (APIs/edge), design GenAI/LLM applications, and collaborate with stakeholders to improve yield and quality.

Support implementation and integration of AI tools (Copilot, Claude) across operations. Assist with configuration, testing, UAT, documentation, stakeholder liaison with IT/SAP, reporting, and continuous improvement of AI-enabled workflows.

The AI DevOps Engineer will design and maintain cloud infrastructure for AI/ML solutions, implement CI/CD pipelines, and support MLOps lifecycle, ensuring system reliability and performance.

Develop and optimize AI/ML solutions, collaborate with teams, support deployment, build MLOps pipelines, and ensure code quality.

Build and scale a full-stack Next.js application tracking PRs, CI health, test parity, and benchmarks across AI accelerator open-source projects. Integrate GitHub APIs and webhooks, design PR/metrics schemas, visualize results, and produce technical digests and reports on cross-accelerator parity and performance trends.