Top Machine Learning Jobs in Malaysia

Owns and governs enterprise standards for semiconductor reprocessing, rework, and repair across global manufacturing sites. Leads prevention-focused continuous improvement, root-cause analysis, quality initiatives, KPI governance, and cross-functional programs. Uses data analytics, AI, automation, and digital solutions to identify risks, reduce reprocessing, improve operational effectiveness, and enable scalable knowledge-management and decision-support capabilities. Partners with manufacturing, quality, engineering, NPI, supply chain, and IT teams to implement standards and drive adoption.

Develop and maintain AI- and machine-learning-enhanced functional test strategies for semiconductor SSD products. Apply predictive analytics, anomaly detection, pattern recognition, and adaptive algorithms to reduce test time, optimize conditions, improve yield and reliability, analyze manufacturing trends, and support automated decision-making. Collaborate with engineering and production teams to integrate AI into test programs, manufacturing infrastructure, monitoring tools, and predictive maintenance models.

Lead reliability engineering for large-scale network services by improving availability, scalability, security, observability, and operability. Build network automation, infrastructure-as-code, CI/CD pipelines, testing frameworks, self-service workflows, and reusable data models. Apply AI-assisted operations to anomaly detection, incident correlation, troubleshooting, and safe remediation. Partner across network engineering and operations, define reliability practices and metrics, evaluate emerging technologies, and mentor engineers.

Designs and deploys computer vision, deep learning, and generative AI solutions for semiconductor manufacturing and environmental monitoring. Responsibilities include object detection, image segmentation, anomaly detection, yield analysis, big-data analytics, production model deployment, monitoring, and optimization. The role collaborates with engineering, operations, quality, and product teams while communicating insights, mentoring engineers, and managing end-to-end AI solution lifecycles.

Leads advanced analytics and data science initiatives for financial services clients. Responsibilities include analyzing transactional and behavioral data, developing and deploying statistical and machine learning models, designing experiments, preparing scalable datasets, creating dashboards, measuring business impact, and communicating actionable insights to senior stakeholders. The role also involves cross-functional collaboration, methodology documentation, and contributing reusable analytics practices.

Leads NAND component reliability engineering for new memory products, including reliability test strategy, stress plans, execution, data analysis, failure analysis, qualification, and cross-functional issue resolution. Manages and mentors reliability engineers while partnering with product, design, R&D, fabrication, systems integration, and quality teams. The role also involves applying SQL, machine learning, generative AI, and advanced analytics to improve reliability workflows and productivity.

Manage procurement for capital equipment, spares, and services; coordinate procure-to-pay activities, delivery, budgeting, and invoice reconciliation; oversee supplier relationships, qualification, performance, negotiations, contracts, and cost savings. Drive supply chain localization and resilience while supporting AI-enabled process improvement and operational excellence across global, cross-functional teams.

Manages procurement for capital equipment, spares, and services, coordinating procure-to-pay processes, budgets, delivery, invoices, supplier relationships, qualification, negotiations, contracts, and performance management. Drives supplier savings, localization, compliance, and supply-chain resilience. Partners cross-functionally with engineering, finance, and category teams while leading AI-enabled automation and continuous-improvement initiatives. Requires at least seven years of engineering, procurement, or supply-chain experience; semiconductor equipment experience is preferred.

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.

As a Data Scientist, you will develop analytical models, manage data infrastructure, translate data into insights, and collaborate on projects across teams.

Lead project delivery across AI and machine learning data projects, managing Project Managers and Associates, client relationships, delivery quality, reporting, and process improvement. Build scalable delivery playbooks and workflows for projects ranging from proof of concept to high-volume data pipelines. Coordinate talent, partnerships, operations, and automation while coaching teams and resolving escalations.

Performs reservoir and production analysis, material balance, decline curve analysis, reserves evaluation, reservoir modeling, history matching, forecasting, and field development studies. The role supports production optimization, well planning, data quality control, technical reporting, and multidisciplinary project delivery. It also applies Python and AI/ML tools to automate forecasting, modeling, scenario analysis, and reporting while progressively taking ownership of reservoir engineering work packages.

Develop automation solutions supporting data analytics and decision-making. Conduct user acceptance testing, create documentation, train end users, and perform system sustaining and continuous improvement. The role requires strong SQL skills, including complex queries, joins, stored procedures, and data analysis scripts, along with familiarity with databases, data management, and Power BI reporting.

Supports business process transformation by developing automation solutions for data analytics and decision-making. Responsibilities include writing SQL queries and scripts, conducting user acceptance testing, documenting systems, training end users, sustaining systems, and driving continuous improvement. The intern will work with databases, reporting tools such as Power BI, and basic machine learning concepts.

Analyzes semiconductor manufacturing and operational data to improve factory efficiency, reliability, and production outcomes. Develops and sustains MES applications, dashboards, analytics, monitoring systems, automation, and decision-support tools. Collaborates with manufacturing, process, automation, and IT teams on digital manufacturing initiatives, new product introductions, troubleshooting, root cause analysis, and continuous improvement.

Drives business transformation and strategic change initiatives by developing transformation strategies, improving processes and organizational design, managing change adoption, engaging senior stakeholders, coordinating cross-functional projects, delivering training, and tracking benefits realization. The role manages transformation projects from planning through post-implementation review while ensuring alignment with business objectives, timely delivery, budget adherence, and successful organizational adoption.

Perform data collection, evaluation, annotation, pairwise comparisons, counting, and object tagging across audio, video, images, and other content to improve AI-generated content in Malay. The role requires native-level Malay fluency, advanced English proficiency, and flexible part-time freelance availability. Experience with machine learning tasks, data preprocessing, quality assurance, or data labeling is preferred.

Leads risk-based assurance for AI systems across products, software development, business processes, and standalone tools. Coordinates AI intake, inventory, risk assessments, monitoring, security testing, control validation, threat intelligence, reporting, and escalation. The role works across Cyber, Product, Engineering, IT, Legal, and third-party risk teams to maintain auditable assurance records, identify material changes, assess AI security risks, and support continuous improvement without owning every technical control or governance decision.

Participate in AI, automation, and software improvement projects while contributing across the software development lifecycle, including requirements, design, implementation, testing, and deployment. Collaborate with cross-functional teams to develop and optimize mission-critical embedded software. The role requires strong programming fundamentals, knowledge of computer science principles, analytical ability, communication skills, and interest in AI, machine learning, automation, telecom protocols, or digital signal processing. This is a minimum 12-week, on-site internship in Bayan Lepas, Penang.

Drive adoption and value realization of Neara’s digital-twin platform among Japanese utility customers. Responsibilities include customer engagement, platform enablement, training, ROI and business-case development, stakeholder management, solution expansion, and collaboration with Sales, Deployment, Product, and Engineering teams. The role requires translating customer strategic goals into technical solutions and measurable business outcomes, with regular customer and team travel in Japan and internationally.

Build and deploy engineering-grade digital models for Japanese utility clients by integrating GIS, LiDAR, and other data sources. Configure platform projects, create dashboards, resolve model inaccuracies, support technical delivery and pre-sales, and collaborate with product and engineering teams on platform improvements and Japanese localization. The role requires customer-facing communication in Japanese, global collaboration in English, mentoring, and occasional travel to customers and international offices.

Designs and reviews secure Azure-centric cloud, application, integration, data, and infrastructure architectures. Provides security leadership across IAM, application security, data protection, cryptography, compliance, threat modeling, and DevSecOps. Assesses GenAI and LLM risks, establishes security guardrails, supports architecture governance, and advises technical and business stakeholders. The role also mentors team members, automates security controls, and ensures alignment with enterprise standards and regulatory requirements.

Lead end-to-end system verification and validation for intelligent robotic products across hardware, software, AI, cloud, connectivity, and mobile applications. Develop test strategies, validate autonomous and AI-powered features, expand automation through simulation and hardware-in-the-loop testing, investigate defects, and provide release-quality assessments. Collaborate with global engineering teams to improve reliability, performance, customer experience, and AI-powered testing innovation.

Internship supporting project development and commodities activities within PETRONAS Chemicals Group’s Downstream Business. Responsibilities focus on data analysis, data science, artificial intelligence, machine learning, information science, and records management.

Lead product vision and discovery for a genomics-driven diagnostic and personalization platform. Validate hypotheses with patients, clinicians, and partners; translate research into product specs; coordinate labs and data providers; partner with engineers and researchers to build AI prototypes; shape data, regulatory, and GTM strategy while making core product and architectural decisions.