Top Machine Learning Jobs in George Town

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.

Lead SSD equipment roadmap and development, drive automation upgrades (SECS/GEM, MES, databases), improve UPH and yield, support APC/ML initiatives, collaborate with IT and automation teams, and manage new equipment budgets.

Lead a data analytics engineering team to build ELT pipelines, ensure supplier data integrity, implement automated data validation and dashboards (Spotfire/PowerBI), perform statistical modeling to detect and resolve manufacturing variability, and drive continuous improvement in semiconductor foundry, assembly, and test supply chains. Role requires shift support.

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.

Entry-level QA Engineer responsible for SSD product quality, failure analysis, test flow and program optimization, automated testing, data-driven reliability reporting, and cross-functional issue resolution with R&D, firmware, and manufacturing teams.

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.

The IT Consultant will design SAP FI/CO solutions, lead automation initiatives, manage projects, and ensure testing excellence while providing ongoing support.

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.

Drive net-new enterprise sales of digital transformation solutions for logistics and supply chain customers. Prospect and close high-value deals, co-sell with hyperscalers, lead complex negotiations, coordinate cross-functional teams, and position AI/IDP/automation solutions to modernize logistics workflows.

Work with Product, Business, and Engineering to collect, clean, analyze data, build Python and SQL automation, contribute to internal analytics platforms, assist cloud deployments, and document technical solutions to support decision-making.

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.

Lead design and management of search and content recommendation services and models. Build personalized recommender systems using ML/AI, define success metrics with product and business teams, drive core module development, and translate PB-scale data insights into measurable product impact.

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.

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.

The IT Consultant will design finance processes, lead automation initiatives, and manage SAP FI/CO solutions while ensuring project readiness and ongoing 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.

The Power ML Engineer will tailor existing models for the Japanese power market, integrate market signals, develop features, monitor performance, and work collaboratively on product roadmaps.