Top Machine Learning Jobs in Malaysia

Oversee equipment preventive maintenance, set up and buyoff for form-factor conversions, install and propagate new equipment, troubleshoot major equipment issues, manage spare parts purchasing, train on SOPs and machine operation, lead continuous improvement projects, and follow OSHA safety standards. Use PLC/CTC/C++/Python and control systems for programming and troubleshooting.

Design, build, and maintain backend APIs and services for a real-time supply chain visibility platform. Own system architecture, real-time event ingestion, data normalization, ML integration, monitoring, and production debugging while collaborating with Product and Data Science to deliver scalable, high-availability features.

Design, develop, and manage large-scale search and content recommendation systems. Apply ML-based personalization to improve content matching and distribution. Lead core recommendation module development, define success metrics, and collaborate with content, product, and business teams to drive AI product upgrades and better user and business outcomes.

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.

Entry-level QA engineer responsible for SSD product quality: monitor OQA/ORT, perform failure analysis and root-cause, define and optimize test flows and automated test programs, produce reliability reports, perform data analysis and automation, and collaborate with R&D, firmware, manufacturing, and stakeholders to resolve quality issues.

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.

Lead product development for iPiD's Global Validate service, managing integrations to new countries/data providers, delivering API features with engineering and BD, analysing payment data and schemes, supporting clients and reports, and aligning cross-functional teams to launch and optimise product enhancements.

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.

The Data Annotator is responsible for labeling datasets, reviewing annotations for quality, collaborating with AI teams, and meeting annotation targets.

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.