Top Artificial Intelligence Jobs in George Town

Develop an AI-enabled capacity and planning insights platform for manufacturing teams. Integrate factory capacity, WIP, production loading, bottleneck, and operational data into a centralized solution. Build interactive visualizations, planning KPI dashboards, scenario evaluation features, and data-driven recommendations to support factory readiness and planning decisions.

Develop alternate test platforms, characterization and qualification programs, and test algorithms for NAND products. Validate NAND features on high-speed testers, monitor performance during product qualification, conduct electrical failure analysis, investigate device issues, and collaborate with design, application, product, and systems teams. Improve validation methods for higher data rates and customer requirements while applying AI and automation to development workflows.

Monitors inbound and outbound shipments, analyzes freight costs and carrier performance, optimizes transportation routes, and supports supply chain network improvements. Tracks logistics KPIs, develops dashboards and reports, identifies cost-saving opportunities, assists with carrier negotiations, resolves customs and compliance issues, and maintains logistics data in ERP and BI systems. Supports risk mitigation, audit corrective actions, process automation, and data-driven operational excellence.

Leads indirect materials category management and strategic sourcing, including supplier segmentation, category strategy, cost analysis, savings initiatives, RFQs, negotiations, contract management, and supplier performance. Partners with internal customers and suppliers to improve cost-effectiveness, supply chain efficiency, and resilience. Applies AI, should-cost modeling, market intelligence, and materials cost analysis to deliver procurement targets.

Provides Level 2 infrastructure support for Windows and Unix servers, databases, hardware, virtualization, and hybrid cloud environments. Responsibilities include incident and problem management, patching, performance monitoring, capacity planning, disaster recovery, dashboard creation, and automation of health checks and maintenance. The role supports manufacturing systems, improves monitoring and reliability, collaborates with Level 3 experts, and applies AI-driven solutions. Flexible availability for 12-hour shifts is required.

Develop automation for extracting yield targets, storing structured data, consolidating target and actual yields, and improving dynamic dashboards. The intern will enhance yield calculations, integrate data sources, validate accuracy, document solutions, and support user adoption. The project collaborates with Site Test Engineering, IT, and Product teams, with a goal of minimizing manual data collection and applying calculations based on product configuration.

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.

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.

Leads Micron’s global leadership and organization capability strategy, including AI-enabled leadership transformation, leadership pathways, enterprise development governance, facilitator ecosystems, assessment-led development, and impact measurement. Partners with senior stakeholders to align leadership initiatives with business priorities, scale learning experiences, improve adoption, and strengthen organizational capability. Uses data, experiential learning, digital enablement, and continuous improvement to enhance leadership effectiveness and transformation outcomes.

Troubleshoots, dismantles, repairs, adjusts, rebuilds, and assembles electro-mechanical manufacturing equipment. Uses diagnostic equipment to identify faults, performs equipment modifications under engineering direction, and supports semiconductor test equipment operations. Applies AI-enabled monitoring, diagnostics, analytics, and generative AI to improve equipment reliability, preventive maintenance, productivity, quality, and technical documentation.

Supports New Product Proliferation qualification activities by tracking lots, executing manufacturing procedures, verifying work quality, monitoring schedules, coordinating cross-functional teams, managing system requests, escalating risks, and maintaining accurate status communication. The role handles multiple qualification projects, uses data analysis and problem-solving skills, follows manufacturing schedules, and maintains a safe, organized work environment.

Provides legal counsel on technology, healthcare, procurement, consulting, and business transactions. Drafts and negotiates software, cloud, SaaS, licensing, data, privacy, cybersecurity, and biotechnology agreements. Advises on regulatory compliance, intellectual property, artificial intelligence, and emerging technologies; leads complex partner transactions; audits contracts and vendor payments; develops policies; researches laws; and supports negotiations, arbitrations, and mediations.

Leads semiconductor manufacturing governance initiatives across global sites, including frontline stability, equipment auto-trigger strategies, product transfer readiness, Copy Exact alignment, and quality improvement. Develops governance frameworks, dashboards, benchmarks, and standardized workflows while applying manufacturing data, AI, SPC, FDC, and root-cause analysis. Partners with engineering, quality, and manufacturing teams to resolve issues, manage transfer risks, sustain performance, and drive manufacturing standardization.

Lead the AI Quality engineering team while remaining hands-on building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Run experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering and manage technical direction and team priorities.

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.

Build end-to-end web applications with responsive front ends, scalable backends, real-time interfaces, and integrated AI/LLM capabilities. Responsibilities include connecting models and APIs, vector databases, and streaming services; optimizing performance, security, and reliability; managing schemas and caching; and supporting automated testing, CI/CD, and cloud deployments.

Own the data marketplace product lifecycle, improving vendor onboarding, submissions, quality feedback, offerings management, and buyer discovery. Partner with engineering, research, GTM, and operations to convert complex requirements into reliable workflows. Define marketplace health and adoption metrics, use qualitative and quantitative insights to prioritize product improvements, and guide launches and iteration in a fast-growing AI startup.

Develop AI-driven products through hands-on software development and product engineering. Build minimum viable products, solve problems creatively, and help shape future AI applications. The role is available remotely or in Boston and Chicago, with contract options ranging from two weeks to three months or full-time, plus potential revenue sharing.

Drives automated test equipment hardware solutions for AI-focused semiconductor devices and modules. Manages load boards, probe cards, sockets, and change kits from sourcing through production release; coordinates vendors, budgets, inventory, forecasts, and cross-functional delivery. Provides technical direction for module testing in production environments, supports NPI timelines and capacity, and identifies margin improvement opportunities.

Lead technical design and hands-on execution for complex products and systems. Responsibilities include architecture, coding, code reviews, debugging, production reliability, technical decision-making, mentoring engineers, identifying risks, and collaborating with product, design, and AI teams. The role owns initiatives from problem definition through production, improves engineering practices and tooling, and ensures scalable, secure, maintainable systems.

Lead technical design and delivery of scalable, reliable payments systems across backend, frontend, APIs, databases and infrastructure. Hands-on coding, code reviews, architecture decisions, mentoring, production ownership, observability and cross-team collaboration to ship high-quality products.

Lead and manage a cross-functional engineering team to design, build, and operate scalable, reliable customer-facing systems. Drive architecture, code quality, testing, observability, incident response, and engineering processes while coaching engineers and delivering product outcomes quickly and reliably.