Total 1,340 data entry job vacancies in Hong Kong

We are seeking a proactive and technically strong Cloud Engineers with hands-on experience in designing, deploying, and managing cloud infrastructure. The ideal candidate should have solid knowledge of cloud platforms (AWS, Azure, or GCP), networking fundamentals, virtualization, and security best practices.

Key Responsibilities

• Design, implement, and manage cloud infrastructure solutions across public and hybrid cloud environments (e.g., AWS, Azure, GCP).
• Plan, execute, monitor, and deliver cloud migration, deployment, and infrastructure upgrade projects.
• Provision and maintain cloud resources using Infrastructure as Code (IaC) tools.
• Ensure high availability, scalability, security, and performance of cloud-based systems.
• Monitor cloud environments and ensure compliance with contractual Service Level Agreements (SLAs).
• Perform routine maintenance, patching, backup management, and disaster recovery planning.
• Implement and manage virtual networks, VPNs, firewalls, and security configurations in cloud environments.
• Collaborate with DevOps and application teams to support CI/CD pipelines and containerized workloads.
• Troubleshoot, diagnose, and resolve cloud infrastructure and network-related issues.
• Prepare technical documentation, architecture diagrams, and project reports.

Job Requirements

• Strong knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
• Experience with virtualization, hypervisors, and cloud-native services.
• Hands-on experience with Infrastructure as Code tools (e.g., Terraform, CloudFormation, ARM).
• Familiarity with containerization and orchestration tools (Docker, Kubernetes).
• Knowledge of networking concepts including VPC, VPN, firewalls, load balancers, and routing.
• Understanding of security best practices in cloud infrastructure.

(EA Reg No: 20C0312)

Please email a copy of your detailed resume to qianyu@talentsis.com.sg for immediate processing.

Only shortlisted candidates will be notified.

Company Overview

Royal Org believes people make a difference. We nurture growth by giving room for mistakes, exposure, and teamwork. We guide and lead together as a family to achieve success.

Job Summary

Join Royal Org to develop your sales and marketing skills in a fast-paced, social environment with opportunities for career growth, travel, and high earning potential.

Responsibilities

• Communicate clearly and engage effectively with customers and team members to build positive relationships
• Demonstrate high energy and confidence to create a positive and motivating atmosphere during daily activities
• Maintain punctuality and reliability to support flexible scheduling including days, evenings, and weekends
• Adapt quickly to fast-paced, social work environments to meet team and individual goals
• Follow coaching and training guidance to improve sales techniques and achieve targets
• Take accountability for meeting performance goals and contributing to team success

Required competencies and certifications

• Right to work locally and hold any necessary local certifications for employment

Preferred competencies and qualifications

• No experience or degree required

Other Information

WHAT YOU’LL GET WITH US

• Fast Career Progression: Promotions based on performance — not time served.
• Fun, Energetic, Social Atmosphere

Well Established Company
Salary: $2000
Working location: East Area
Working hours: Monday - Friday, 9am - 6.30pm
No Experience Required

Job Responsibilities:

• Assist with delivery of goods and materials

• Handle goods safely and ensure proper loading/unloading

• Ensure timely and accurate order fulfillment

• Support the logistics team with day-to-day operations
  
  
  

Requirements:

• Physically Fit

• Open to fresh graduates with no prior experience

Candidates are encouraged to apply to this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background
  

We regret that only shortlisted candidates will be contacted.

Barry Ang Ze Xin (Reg No : R26159529)

EA Recruitment Pte Ltd

EA License No: 21C0492

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