Top Machine Learning Jobs in George Town

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.

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.

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.

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.

Develop an automated PPJ performance tracking solution for Site Test Equipment Engineering. Extract and consolidate database data, generate Power BI trend charts, map equipment IDs and alarm codes to faulty parts, and enhance dashboard filtering by test platform, DID, equipment, and alarm category. Prepare documentation and user guidance for adoption and maintenance. Potential stretch work includes scheduled refreshes, abnormal-performance alerts, and root-cause analysis views.

Intern will analyze NAND reliability and qualification data, execute wave tests, collect and analyze logs, support failure analysis, and develop AI-driven automation tools. Responsibilities include presenting engineering insights, creating technical documentation, maintaining source code, and demonstrating productivity improvements. The role may also involve developing a GenAI reliability engineering assistant for data analysis, failure identification, knowledge retrieval, and reporting.

Reviews financial services regulations and exchange rulebooks, assesses regulatory changes, and maintains auditable review records. Validates machine-learning topic classifications, provides labelled feedback, and helps maintain regulatory taxonomies. Compares platform rulebooks with authoritative sources to identify structural errors, missing provisions, duplication, and versioning issues. Performs quality assurance against development requirements and collaborates with product, engineering, and software teams to process new regulations and improve the service.

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.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

Write technically accurate case studies, articles, product explainers, launch materials, and social content for AI engineers, researchers, and technical leaders. Interview customers, partners, and internal experts; learn HUD’s platform and workflows; explain technical products and research clearly; support founder communications; manage content from ideation through publication; and improve content using reader and go-to-market feedback.

Develops and manages electrical facility systems, including high- and low-voltage equipment, power distribution, maintenance, relay calibration, and regulatory compliance. Leads smart facilities initiatives using AI, machine learning, predictive maintenance, analytics, digital twins, dashboards, and automated diagnostics to improve reliability, energy efficiency, capacity planning, and operational performance. Collaborates with IT, automation, data science, and global facilities teams while supporting troubleshooting, reporting, and facility expansion.

Direct operation, reliability, maintenance, capacity planning, and lifecycle management for site-wide mechanical, electrical, and energy systems in a semiconductor manufacturing environment. Leads root cause analysis, predictive maintenance, digital twin, IIoT, AI, automation, energy optimization, and smart-facility initiatives. Ensures regulatory and ISO compliance, resolves complex operational issues, collaborates cross-functionally, and mentors engineers and technicians.

Maintain and support ELV and critical facility systems, including UPS, access control, networks, solar monitoring, VFDs, PQMS, FMCS, BMS, and SCADA. Lead AI, machine learning, IIoT, predictive maintenance, dashboards, digital twins, intelligent alarming, and smart-facility initiatives. Manage contractors, facility upgrades, CAPEX projects, troubleshooting, root-cause analysis, documentation, and EHS compliance while collaborating with Automation, IT, Cybersecurity, and Facilities teams.

Analyzes quality and EHS data from multiple sources, develops Power BI dashboards and reports, identifies trends and anomalies, applies statistical and predictive modeling techniques, integrates TQM systems with analytics platforms, conducts risk assessments, and presents actionable recommendations to stakeholders and executives.

Lead research on improving AI agent training data and evaluations. Manage and mentor research engineers, define research direction, design rigorous experiments, validate data quality, diagnose reward and grading failures, and translate findings into scalable tools, workflows, and standards. Collaborate with engineers, domain experts, and vendors while communicating technical conclusions and tradeoffs clearly.

Build and maintain mission-critical wealth management systems for SMB clients. Design data pipelines, ETL/ELT processes, data models, warehouses, analytics, and reporting solutions using AWS, Snowflake, Mage AI, and other big data tools. Collaborate with data scientists and analysts on predictive models, statistical analyses, and machine learning algorithms. Develop software with Next.js and Python while working closely with the team and clients on financial-domain challenges.

Leads global supply chain optimization by designing scalable processes, standards, training, metrics, and technology capabilities. Oversees procurement and ERP roadmaps, Oracle Fusion governance, AI and analytics adoption, MRP policies, standard costs, supplier performance, and continuous improvement. Drives transformation initiatives, change management, shared services, executive reporting, and M&A integration across divisions and geographies.

Annotate and label data accurately according to project guidelines, conduct quality checks, provide feedback on annotation tools and processes, collaborate with project teams, maintain efficiency, and identify issues for resolution. The role requires strong attention to detail, critical thinking, adaptability, communication skills, and comfort with repetitive computer-based work.

Build privacy and anonymization systems that detect and transform PII, credentials, secrets, and other sensitive information in data used for AI training. Develop detection methods combining rules, statistical models, classifiers, and LLMs; create production data-processing pipelines; evaluate privacy risk and retained utility; and ensure robustness against schema drift, unusual formats, leakage, and adversarial re-identification.

Own digital product delivery from strategy and requirements through execution and optimization. Responsibilities include prioritizing features, managing roadmaps and backlogs, collaborating with engineering, design, marketing, and stakeholders, analyzing markets and customer feedback, facilitating requirements workshops, and monitoring product metrics. The role focuses on scalable technology products, with preferred experience in fintech, payments, banking, loyalty, e-commerce, or AI-powered platforms.

Support APAC Claims Operations by producing and automating reports, reconciling multi-system data, resolving quality issues, and developing scalable dashboards. Build SQL queries, Python automation workflows, data validation processes, and documentation. Deliver ad hoc analysis and leadership insights while piloting AI applications such as claims classification, anomaly detection, document summarization, and natural-language querying. Partner across markets to improve reporting efficiency, data quality, and operational decision-making.

Combine supplier quality engineering with data analytics to build ELT pipelines, validate data, create automated Spotfire/Power BI dashboards, perform statistical modeling to monitor and predict manufacturing variances, and drive continuous improvement with supplier and internal teams. Provides rotational weekend support.

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.

Manage relationships with high-value customers and partners in Malaysia to drive new logo, renewal, and cross-sell revenue for Sophos. Qualify opportunities, build C-level and channel relationships, collaborate with Sales Engineering/Marketing/Channel, maintain Salesforce CRM and forecasts, attend events, and coach teammates while ensuring customer satisfaction.