Top Artificial Intelligence Jobs in Malaysia

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

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.

The Data Automation Specialist will manage master data, automate processes, ensure compliance, and improve efficiency through innovative IT operations and data governance.

Design, develop, test, and deploy cloud-based microservices and large-scale distributed systems. Build RESTful APIs, process structured and unstructured data, apply ML/AI algorithms, implement CI/CD and containerized deployments, refactor and review code, produce documentation, and collaborate across geo-distributed teams.

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.

The Senior Product Designer will lead product design processes, create user-centric designs, and integrate AI into the design workflow while collaborating across teams.

The role involves delivering AI solutions, driving innovation with emerging techniques, shaping AI architecture, and empowering the data community within IRAS.

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.

Research AI, machine learning, robotics, autonomous vehicles, and data annotation topics, then create technical blogs, case studies, explainers, whitepapers, and thought leadership content. Translate complex concepts into clear, commercially relevant narratives for enterprise audiences. Collaborate with technical, Growth, and Marketing teams, incorporate editorial feedback, optimize content for readability and SEO, source supporting research, and maintain consistent messaging across digital channels.

Design, build, and maintain scalable data connectors and integration frameworks that ingest and normalize data from enterprise systems and third-party platforms. Implement authentication, rate limiting, incremental sync, error handling, and observability. Deliver application integrations into collaboration platforms (Teams, Slack), create reusable SDKs/frameworks, and collaborate with product and engineering to produce reliable, maintainable integration solutions at scale.

Design and optimize AI/ML models for deployment on edge devices, collaborate with hardware engineers, and implement MLOps strategies.

Lead the Client Experience AI roadmap to improve chatbots and automation. Implement and integrate LLM/NLP solutions, enhance knowledge bases and workflows, measure performance with analytics, and drive cross-functional improvements in customer support efficiency and satisfaction.

The AI Specialist is responsible for building and maintaining AI infrastructure, architecting custom LLM solutions, and automating workflows using Python. Key tasks include system setup, data validation, and ensuring cross-functional technical alignment.

Assist in AI-driven market research, data organization, content creation, and campaign planning while gaining hands-on experience in marketing and design.

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.

Own product areas within BJAK's AI Neobank app (insurance, payments, savings, investing, travel). Define user problems, scope, metrics, roadmap and launch plans. Work cross-functionally with engineering, design, data, operations, compliance and business teams. Simplify complex financial products into usable journeys, launch features, monitor performance, iterate using data and feedback, and balance speed, UX, business impact and compliance.

Lead product direction, roadmaps, and success metrics for major AI neobank app areas. Guide PMs, designers, and engineers across squads; turn regulatory and operational constraints into product decisions; drive launch quality, post-launch learning, and continuous improvement across payments, savings, investing, insurance, and travel features.

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.

Senior technical pre-sales role driving Azure-based cloud and AI infrastructure solution architecture, migrations, and modernization. Work with customers and partners to design secure, scalable hybrid and cloud-native architectures, lead demos/proofs of concept, address technical objections, and apply Cloud Adoption Framework practices to deliver production-scale outcomes.

The QA Engineer tests and ensures quality of Rimini Street's Agentic ERP Platform, focusing on AI features, creating automated tests, and managing defects.

Recruiters at Centific attract, screen, and select candidates for AI projects, focusing on multilingual profiles worldwide. They manage recruitment campaigns and qualifications.

The Gen AI Engineer develops and optimizes AI models for generating content and insights, collaborating with teams to enhance banking functions while ensuring compliance with regulations.

The Senior Gen AI Engineer leads the design and strategy for Generative AI use cases, focusing on user research, product management, and collaboration with cross-functional teams to drive AI innovations and solutions.