Analyzes business and regulatory requirements, designs scalable data and solution architectures, estimates project effort, and communicates technical concepts to stakeholders. Reviews testing and data validation strategies. Develops logical data layers and curation approaches for reporting, analytics, and AI/NLP use cases, including text classification, entity extraction, risk identification, and document summarization across data lake and data warehouse environments.
- Analyze business and regulatory requirements and
translate them into scalable solution designs.
- Perform detailed effort estimation for projects and
change requests.
- Communicate complex technical and architectural
concepts to business and senior stakeholders in a clear, simplified manner
- Review and approve test strategies, functional test
cases, and data validation approaches.
- Ability to design data architectures supporting NLP and
AI‑driven analytics, including ingestion, curation, and governance of
unstructured data within Data Lake, Data warehouse platforms.
- Experience translating business and compliance
requirements into NLP‑enabled analytical use cases, such as: Text
classification and categorization, Entity extraction, Risk indicator
identification, Summarization of alerts, cases, or documents
- Ability to translate business, regulatory, and
analytics requirements into logical data layering and curation strategies
that support reporting, analytics, and AI/NLP use cases
Technopals Pte.Ltd. Singapore, Singapore, SGP Office
Singapore, Singapore
Similar Jobs
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Develops and optimizes semiconductor process control systems to improve yield, quality, reliability, cost, and productivity. Responsibilities include data analysis, process modeling, statistical and fault detection methods, equipment and material evaluation, control limit and OCAP development, supplier coordination, system integration, and smart manufacturing solutions using machine learning, IIoT, and advanced controls. The role also provides technical support, training, and cross-functional collaboration across process and equipment teams.
Top Skills:
Advanced Process Control (Apc)Deep LearningEnterprise Equipment Engineering (E3)Failure Mode And Effects Analysis (Fmea)Fault Detection And Classification (Fdc)HadoopIndustrial Internet Of Things (Iiot)Machine LearningPythonRSQLStatistical Process Control (Spc)Web-Based Applications
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Leads global strategy, governance, deployment, and continuous improvement of semiconductor front-end quality and equipment-control systems. Oversees FDC, alarms, equipment monitoring, risk assessment, lifecycle controls, analytics, automation, machine learning, and generative AI initiatives. Defines processes, requirements, standards, metrics, and best practices while partnering with fabs, IT, engineering, and analytics teams. Leads technical programs, prototypes, deployment, validation, cross-site alignment, and operational improvements supporting product quality, yield, reliability, and manufacturing continuity.
Top Skills:
Advanced AnalyticsAutomated DashboardsAutomationEquipment Alarm ManagementEquipment Constant MonitoringFault Detection And Classification (Fdc)Generative AiIndustrial Internet Of Things (Iiot)Machine LearningManufacturing Execution Systems (Mes)Semiconductor Manufacturing Systems
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Support SSD products from development and qualification through high-volume manufacturing. Drive manufacturing test bring-up, product qualification, firmware and test validation, production readiness, yield improvement, and system-level failure analysis. Analyze test data and manufacturing performance, resolve root causes with cross-functional engineering teams, and develop automation, analytics, and AI-enabled solutions to improve product quality and engineering efficiency.
Top Skills:
Ai/MlAsicFirmwareGenerative AiNand FlashNvmePciePythonSemiconductor DevicesSQLSsd
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
