Total 1,343 data entry job vacancies in Hong Kong

Location: Woodlands

Working hours: Mon to Fri, 830am to 530pm

The Job:

• Establish standard operating procedures for product engineering and manufacturing processes on the testing floor
• Conduct Failure Mode and Effects Analysis (FMEA) to identify and mitigate potential process failures
• Review and analyze test yield data to identify issues and implement yield improvement actions
• Determine disposition for hold lots based on yield and quality analysis
• Perform device and hardware tester qualification, correlation, and generate associated reports
• Develop and execute Design of Experiments (DOE) to optimize testing and manufacturing processes
• Resolve technical issues related to device testing to support manufacturing operations effectively
• Liaise with customers to understand and implement new production specifications during New Product Introduction (NPI)
• Coordinate device startup and transfer activities to ensure smooth production transitions

The Talent:

• Degree in Electrical & Electronics Engineering with min 1 year of relevant working experience.
• Fresh graduates are welcome.
• Strong team player with good communication skills.
• High level of ambition and a strong desire to learn.
• Singaporeans only.

Next Step:

• Interested applicants, please send your resume to yingchong.koh@adecco.com with your current and expected salary.
• All shortlisted candidates will be contacted.

Koh Ying Chong

EA License No: 91C2918

Personnel Registration Number: R23116418

Requirements:

• Excellent ethics and positive learning attitude

• Leadership potential and ready to take on challenges (view challenges as opportunities instead!)

• Team player and enjoys interactions with people

Responsibilities:

• Implementing ethical sales technique with integrity & enthusiasm

• Lead and drives a team towards a common goal

• Relationship builder with established clients, customers and consumers

Benefits:

• One on one MENTORSHIP & SUPPORT system Performance based

• BUSINESS ADVANCEMENT

• Highly motivated, FUN and FAMILY-liked environment

• TRAVELLING opportunities – Regional and International

Sounds like something you are seeking for?

Send in your resume to us by clicking APPLY NOW. We will bring you on to a GREATER ADVENTURE!

We regret to inform you that only shortlisted candidate will be notified.

!ASAP!! B2B Junior Sales and Marketing Role

Key responsibilities:

✨ Liase with customers and clients professionally

✨ Build positive client relationships

✨ Attend to customers enquires and close followups

Who we are looking for:

Job Description

• Industry/ Organization Type: Information Technology Consulting
• Position Title: Product Manager (Esp Data & AI Platform)
• Working Location: Pasir Panjang
• Working Hours: 5 days, Mon – Fri (8:30 AM – 6:00 PM, Fri 8:30 AM - 5:30 PM)
• Salary Package: Basic Salary + Completion Bonus
• Duration: 1 year contract (renewable)

Key Responsibilities

• Define and communicate the product vision and strategy for the enterprise data hub, aligned with user needs and business goals.
• Manage the data hub as a product platform, balancing the needs of data producers, users, analytics, and AI use cases.
• Conduct user research, interviews, and testing, and analyse data and feedback to identify problems and guide product decisions.
• Translate product strategy into clear requirements, user stories, and acceptance criteria.
• Identify and manage risks across the product lifecycle, including data, security, AI, and operations.
• Prioritise and maintain the product backlog to deliver high-impact data and AI features.
• Collaborate with engineering, design, project teams, data owners, and policy teams, and communicate updates to stakeholders.
• Plan and support product launches, monitor performance, and improve based on results.
• Define success metrics, data requirements, and reporting methods to track outcomes.
• Work with data owners to ensure data quality, governance, access control, and proper usage.
• Identify and assess AI opportunities, evaluate feasibility and risks, and translate them into clear use cases.
• Ensure AI features are practical for daily use, including monitoring performance and supporting adoption through training and communication.
• Any ad hoc duties assigned

APPLY NOW!!!

• Minimum 7 years of experience in product management.
• Strong analytical skills and ability to use data for decision-making.
• Experience working with cross-functional teams and aligning stakeholders.
• Experience managing product lifecycle and go-to-market activities.
• Good technical understanding to work with engineering teams on requirements and constraints.
• Strong communication and stakeholder management skills.
• Experience with data platforms (e.g. data lakes, warehouses, APIs, pipelines).
• Experience with data or AI-related products, including understanding risks and implementation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #83248 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Statistics-and-Data-Science%29/33447-en_GB/?st=DDCF370D747A170FC6C5B7C7D0F8F5BB9E65FE37

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Assoc. Prof. Alexandre THIERY on representation learning and high-dimensional time series under a project on "Particle methods for data-assimilation".

The main responsibilities of the position include:
•    Methodology development
•    Implementation of the methods
•    Publication in journals and conferences
•    Presentation of work at conferences

Qualifications / Discipline:
•    PhD in Machine Learning, Statistics, Signal Processing, Applied Mathematics, or related fields

Skills:
•    Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow)
•    Strong background in statistical modeling and machine learning
•    Proven ability to develop and implement complex algorithms
•    Excellent written and verbal communication skills
•    Capable of conducting independent research and working collaboratively

Experience:
•    Published research in top-tier journals and conferences (e.g., NeurIPS, ICML, AISTATS)
•    Demonstrated experience in developing novel methodologies in representation learning
•    Strong record of presenting at international conferences and workshops

Job Responsibilities

1) Data Platform & Enterprise Architecture Leadership

• Define and execute the APAC data platform architecture strategy, aligned with global priorities and regulatory/local market requirements.
• Architect scalable, secure, future-ready data platforms that support business change and modernization outcomes.
• Integrate and modernize legacy systems and disparate data sources into unified, trusted data ecosystems enabling analytics, AI/ML, and GenAI.
• Drive adoption of open systems and standard architectures to improve agility, interoperability, and resilience.

2) Delivery Management & Execution (Architecture-through-Delivery)

• Be accountable for successful delivery of a regional data platform, including day-to-day coordination and delivery oversight.
• Partner with sponsors/stakeholders to define goals, deliverables, and acceptance criteria.
• Support requirements/backlog prioritization, user stories, and alignment ceremonies (stand-ups, showcases/POCs, SteerCo, working groups).
• Create and deliver against detailed project plans; track dependencies, manage delivery risks, and ensure timely execution.
• Manage budgets/forecasts and oversee external vendors/data providers.

3) Governance & Stakeholder Engagement

• Establish and embed architecture principles, standards, and governance, ensuring enterprise-wide alignment.
• Chair/lead architecture forums as needed and provide strategic oversight for significant technology programs.
• Build strong relationships across regional/country technology leadership, product, delivery teams, external vendors, and Head Office (Japan).
• Drive architecture advocacy via workshops and knowledge sharing across business and technology communities.

4) Engineering Excellence (Quality, Simplicity, Performance)

• Apply strong software engineering practices: code profiling/optimization, debugging complex issues, and choosing appropriate languages/paradigms.
• Drive pragmatic design: SOLID/cohesion, idempotence, domain modelling, performance-by-design; familiarity with CQRS and eventual consistency.
• Promote modern delivery practices: automation by default, CI/CD, automated security scanning and performance testing.

5) Reliability, Observability, Security & Compliance

• Design for reliability, performance, and availability and ensure platforms meet both user needs and business goals.
• Facilitate adoption of platforms with embedded observability, risk, and compliance controls.
• Ensure secure-by-default engineering, including server hardening fundamentals and use of SSL/encryption principles.

6) People & Talent Leadership

• Provide technical leadership, mentorship, and guidance to engineering/delivery teams and the architecture community.
• Lead design discussions, gain buy-in, and develop others through coaching and knowledge sharing.

Job Requirements

• Experience: Minimum 10 years delivering in strong engineering teams, with proven delivery ownership for data/technology initiatives.
• Strong background in enterprise/data/solution architecture and modernization programs (cloud adoption and large-scale integrated solutions exposure preferred).
• Strong stakeholder management and influencing skills across engineering, product, and senior business leaders; ability to collaborate across APAC and with Japan/global teams.
• Solid foundation across:
• Software engineering and design practices (performance, SOLID, idempotence, domain modelling).
• DevOps/automation and CI/CD with security/performance testing automation.
• Infrastructure basics (OS, scripting, networking) and data storage paradigms; ability to automate PaaS usage.
• Security principles (secure coding, hardening, encryption/SSL).