Top Machine Learning Jobs in Malaysia

Design, build, and manage large-scale search and content recommendation systems using machine learning and personalization techniques. Collaborate with content, product, and business teams to define success metrics, drive AI product improvements, and maximize content value and user impact.

Early-career Performance Engineer in the Binance Accelerator Program. Perform hands-on performance testing and tuning, design AI-powered test strategies using LLMs and ML, build AI-driven anomaly detection and bottleneck analysis tools, research new AI technologies, and improve reliability of large-scale distributed systems.

Design, back-test and implement pricing, risk management, and agency trading strategies; collaborate with developers to integrate models into the trading platform; participate in product ideation, modeling, parameter tuning, and risk evaluation.

Provide mid-level technical support for Zebra products by troubleshooting issues, managing support tickets to meet SLAs, collaborating with cross-functional teams, creating training for junior staff, and contributing to process and product improvements.

Provide advanced technical support for escalated customer issues, analyze interactions to identify trends, collaborate with engineering/product teams, document resolutions, create knowledge base content, mentor junior staff, and use data analytics to improve support performance and customer satisfaction.

Design, install, troubleshoot, and program control systems, PLCs, HMIs, SCADA, vision systems, drives, and robotics for high-speed manufacturing. Lead continuous improvement, develop control programs, analyze data, support cGMP compliance, and coach others on machine and vision programming.

Early-career role analyzing PB-scale on-chain, transactional and customer data. Perform data engineering, ETL, querying, build visualizations and ML models, translate insights for teams, manage reporting environment, secure confidential data, and troubleshoot reports/databases.

Analyze PB-scale trading, transactional, operational and customer data; build visualizations, ML models and experiments; translate findings into actionable recommendations for trading, operations, product and executives in a fast-paced environment.

18-month IT trainee program rotating across IT functions (Digitalization, Delivery, Data & Analytics, Cloud, Cyber Security). Support projects, prepare management reports, take independent tasks, receive mentoring, international exposure, and opportunities for permanent placement.

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.

Lead AI transformation across Commercial: identify, prioritize, and deliver AI initiatives (forecasting, pricing, personalization, copilots, automation) that drive revenue, productivity, and data-driven decisions; translate business problems into scalable AI solutions; partner with Technology, Legal, Risk, and Data teams; build AI literacy and lead an execution-focused team.

Develop and deliver data analytics tools, algorithms, and methodologies to translate manufacturing data into insights for factory yield and process engineering. Apply predictive modeling, clustering, anomaly detection, time-series analysis, and ML frameworks to support engineers in semiconductor manufacturing.

Designs and applies statistical methods and predictive models to analyze manufacturing and business data, identify variation and patterns, create reports and dashboards, support cross-functional decision-making, and advance analytics infrastructure and data integrity.

Lead strategy and execution for fraud risk management across the platform. Develop detection and prevention frameworks, optimize transaction screening, partner with Compliance, Data Science, Engineering and Product, oversee KPIs and vendor costs, lead a risk strategy team, and pilot AI/LLM-driven tools to enhance detection while enabling business growth and regulatory alignment.

Lead the core verification engine for global address and contact verification: drive discovery, define product strategy, partner with engineering and data science to improve accuracy, latency, throughput and resilience, productise AI/ML components responsibly, engage enterprise customers, run experiments and measure outcomes (conversion, match rates, cost), and deliver platform capabilities (APIs/SDKs, observability, SLAs) at scale.

Develop and support Virtual Factory systems and advanced analytics to optimize semiconductor manufacturing. Implement MES/IIoT integrations, dashboards, SPC/OEE analysis, root-cause investigations, and cross-functional continuous improvement to improve productivity and equipment utilization across global sites.

Design, develop, test, integrate and maintain embedded firmware for enterprise HDDs. Implement drivers, data structures, algorithms and data path code (C/C++/Python). Work with SAS/SATA/PCIe interfaces, collaborate across hardware and software platforms (Windows/Linux), produce design documents, run CI/unit tests, and lead technical investigations to resolution.

Design, develop, test, integrate, and maintain firmware for enterprise HDDs. Implement data structures, algorithms, drivers and data paths in C/C++ and Python. Work with SAS, SATA, PCIe interfaces, collaborate across hardware and OS platforms (Windows/Linux), create design documents, run technical investigations, and follow unit test/CI best practices.

Design, develop, test, integrate, and maintain firmware for enterprise HDDs. Implement data structures, algorithms, drivers, and data paths in C/C++ and Python. Work with SAS, SATA, PCIe interfaces, collaborate across hardware and software, create design documents, and participate in technical investigations and CI-driven testing.

Support day-to-day business activities by gathering user requirements, analyzing data, creating documentation, and assisting in AI-related projects for a smoother communication between business and development teams.

Develop, review and monitor credit rating models for the wholesale banking portfolio. Work with large datasets, perform model development, testing, documentation, UAT, and regulatory submissions. Produce performance monitoring reports, engage business experts for insights, and improve model monitoring and automation.

Lead AI and automation product initiatives for Seller Center, partnering with ML, engineering and regional teams to discover, design, validate and launch AI-driven features. Use qualitative and quantitative signals to prioritize work, run model and feature evaluations (A/B tests, shadow/offline tests, cohort analysis), communicate trade-offs to stakeholders, and ensure cross-market alignment and operational scalability.

Support the Polish Engineering team by assisting with development and implementation of manufacturing automation, programming and testing automated systems, collecting and analyzing process data, troubleshooting issues, documenting procedures, and researching emerging automation and data science technologies.

The Data Analyst role involves annotating emails, identifying malicious URLs, labeling data for AI training, ensuring process adherence, and supporting project management KPIs.

This Data Analyst role involves annotating and examining emails, identifying malicious links, labeling data for AI, and ensuring compliance with processes. The candidate will also monitor KPIs and assist project management.