Top Machine Learning Jobs in George Town

Monitor and improve semiconductor manufacturing equipment performance, uptime, utilization, reliability, yield, and productivity. Troubleshoot failures, lead root cause analysis, implement corrective and preventive actions, and support maintenance programs. Lead equipment installation, commissioning, and qualification. Analyze manufacturing data and apply AI, machine learning, automation, and digital tools to improve operations. Ensure safety and environmental compliance, train technicians, and collaborate across engineering, production, quality, and maintenance teams.

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.

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.

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.

Oversee equipment preventive maintenance, form-factor conversions, setup and buyoff, new equipment installation, continuous improvement, troubleshooting, and spare-parts purchasing. Train employees on SOPs and machine operation, maintain OSHA safety compliance, and use PLC, CTC, C++, and Python programming for equipment troubleshooting. Requires an engineering degree related to automation, electrical, mechanical, or mechatronics engineering.

Develop, optimize, and maintain SSD test programs for high-volume manufacturing and NPI. Automate testing with scripts, enhance coverage, debug failures, collaborate with product/equipment teams, monitor metrics, manage test transfers, and mentor junior engineers.

Own the vision, strategy, and roadmap for a shared lending platform supporting multiple products and markets. Lead platform architecture decisions, real-time credit decisioning, API and configuration design, vendor evaluations, regulatory reporting, data aggregation, and ML-assisted credit capabilities. Translate risk and compliance needs into engineering-ready specifications while coordinating Credit, Risk, Engineering, Design, and country teams. Manage dependencies, delivery sequencing, and the full product lifecycle from research through launch and ongoing iteration.

Develop user-facing financial AI and equity research algorithms across query understanding, document processing, entity recognition, event detection, retrieval, ranking, and quality evaluation. Build datasets, labeling systems, benchmarks, and production evaluation frameworks. Apply large language models, NLP, machine learning, reinforcement learning, knowledge graphs, and multimodal methods while collaborating with engineers to deploy and continuously optimize financial data and knowledge systems.

Lead tactical industrial engineering for NAND/SSD manufacturing to optimize operations, align supply and capacity, manage NPI-to-HVM material flow, install processes/automation, investigate material/logistics issues, provide management updates, and coach a team focused on data-driven decisions.

Designs and develops content governance platforms, anti-abuse tools, rule engines, and scalable governance pipelines. Integrates recommendation systems, implements content takedown policies, and builds capabilities for content review, risk detection, policy enforcement, and effectiveness analysis. The role addresses spam, fraud, traffic diversion, low-quality content, and black- or gray-market activity while collaborating with product, operations, algorithm, and business teams.

Leads analysis, mining, modeling, and visualization of large-scale transactional, operational, and customer data. Partners with compliance teams to prioritize analytical use cases, support regulatory requirements, improve business efficiency, and translate complex findings into actionable recommendations. Oversees multidisciplinary analysts, manages stakeholder data requests, assesses business changes, and develops analytical systems using machine learning, big data technologies, and visualization tools.

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.

Leads finance transformation by owning core financial processes, modernizing ERP and planning systems, deploying AI and automation, partnering with engineering and data teams, redesigning workflows, establishing controls, and driving organizational adoption. The role requires senior finance leadership, strong systems expertise, hands-on AI transformation experience, process governance, and the ability to translate between finance and technology.

Support product development for homepage, user center, AI-generated interfaces, market pages, onboarding, personalization, and recommendation experiences. Coordinate with engineering, design, data, and business teams; organize requirements; track metrics; support experiments; analyze feedback; and help resolve issues. The role is part of a 3–6 month early-career accelerator program focused on blockchain products and AI-driven user experiences.

Analyze large-scale transactional, operational, and customer datasets; build visualizations, machine learning models, and experiments; translate complex findings into clear recommendations for operational teams and executives; and apply analytical software, databases, visualization tools, and programming languages in a fast-paced blockchain environment.

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.

This role involves leading AI use case discovery and strategy, user research, product concepting, and prioritization of AI initiatives, ensuring alignment with customer needs and business value.

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.

Analyze large-scale on-chain data to detect anomalous transactions, develop detection mechanisms and risk monitoring frameworks, apply supervised and unsupervised ML, identify malicious accounts via community-discovery algorithms, and design integrated on-chain/off-chain prevention and control systems.

Lead engineering projects, automation and digitization, new product qualification, and machine/process reliability. Manage budgets, timelines, root-cause troubleshooting, maintenance strategy, and integration of advanced manufacturing technologies. Mentor and develop engineering team, ensure safety and compliance, and coordinate with regional/global stakeholders to drive productivity and operational excellence.

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, 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.