Job Duties:

• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.

• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.

• Visualise, interpret, and report data findings and may create dynamic data reports as well.

Job Requirements:

•Bachelor’s degree in computer science, data engineering, or a related field.

•Must have experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC.

•Proficiency in programming languages such as Python, Java, or Scala for building data pipelines.

•Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.

•Strong knowledge of SQL and NoSQL databases.

•Familiarity with data modeling and schema design.

•Excellent problem-solving and analytical skills.

•Strong communication and collaboration skills.

•AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Data Analytics - Specialty), Databricks certifications, and Informatica certifications are a plus.

Preferred Skills:

•Experience with big data technologies like Apache Spark and Hadoop on Databricks.

•Knowledge of containerization and orchestration tools like Docker and Kubernetes.

•Familiarity with data visualization tools like Tableau or Power BI.

•Understanding of DevOps principles for managing and deploying data pipelines.

•Experience with version control systems (e.g., Git) and CI/CD pipelines.

•Knowledge of data governance and data cataloguing tools, especially Informatica IDMC.

What you’ll be doing:

• Support the organisation’s transformation into a data-driven organisation by charting the strategic directions to design, develop and deliver Data and Analytics capabilities that includes:

1. Transform the team to deliver next-generation data and analytics capabilities that support rapid on-boarding of data sources, high-scalable architecture that empower both employees and data scientist to self-serve to a suite of data products, ranging from data-self-serve to analytics-as-a-service.
2. Develop organic Data Engineers for improved data management, to ingest data, design and architect data pipelines, data architectures for different data consumer groups.
3. Develop organic Data team to exploit all data to harness new insights and support better sense making capabilities.
4. Develop roadmaps to deliver cutting-edge sense making capabilities that harness all data types such as high velocity, structured, unstructured, images, videos, geo-location, signal, etc.
5. Drive data analytics and AI/ML models for big data analytics, and advance dashboarding for data and insights visualisation, including GIS and LLM/GenAI technology.
6. Guide new data-driven approaches for the purpose of generating operational insights that address operational challenges in a proactive manner.
7. Collaborations with partners and stakeholders to research in advance AI/ML model to solve complex and/or wicked problem statements beyond Data Science, when no readily available solution can be found in the market.
8. Proliferate and upskill Data Science competencies within organisation, including supporting relevant training to upskill data analysis/data science proficiency levels.

• Ensure timely delivery and implementation of the enterprise data and sense making projects that include data architectures (ingestion, storage, acquisition, validation), data exchanges, big data analytics platforms, user data and analytics systems.
• Lead strategic discussions with senior management and key stakeholders to ensure successful delivery of projects and capabilities.
• Act as the organisation’s Chief Data Officer and drive the following initiatives:

1. Work with governance units to ensure data security governance complies with the prevailing policies and addresses all matters relating to data governance and solutions required to ensure secured, timely and efficient delivery of data to the respective stakeholders.
2. Drive the management, use and sharing of data in a secure manner, and plug any gaps to comply with organisation guidelines.
3. Define the organisation’s data strategy, goals, polices and management of organisation’s data assets, and coordinate returns for organisation’s indices.
4. Raise the staff’s awareness on data policies, procedures and promote culture of data privacy and security.
5. Drive data analytics adoption within the organisation and promote data-driven business decisions.

• Work with users to identify appropriate Data Science solutions to better users’ current outcomes, bring new or additional value to their operations, and/or create new/transformative capabilities for the users, such as:

1. Lead users and diverse stakeholders to understand and identify users’ challenges and co-define problem statements where Data Science solutions can mitigate these challenges.
2. Work with users and multi-disciplinary technical/specialist teams to scope and formulate problem statements and identify the appropriate Data Science solutions to achieve the best outcomes to these problems.
3. Manage the proper resourcing of projects with the right people with the right competencies and expertise; influence and negotiate with stakeholders to secure the required resources

What you’ll need:

• Degree in Computer Science, Computing, Cybersecurity, or IT equivalent
• Relevant working experience in IT environment including a minimum of 8 years in a leadership position managing data analytics and/or Data/AI product development team.
• Able to influence stakeholders, including Senior Management and relevant Directors of the organisation, to seek necessary approval and buy-in by providing strong and clear justifications for proposed changes.
• Ensure close collaboration across units and functions within the organisation and external contractors to monitor work progress and performance.
• Able to build effective working relations with internal and external stakeholders to ensure project delivery is met.
• Able to reconcile immediate operational needs with long-term strategic goals, considering differing views of various stakeholders, and get buy-in for the adopted approaches.
• Able to work under extreme pressure with tight timelines.
• Have meticulous planning skills, and the ability to analyse issues with clarity and present balanced, strong arguments.
• Have keen sense of scientific and technological developments, with particular interest in data science & artificial intelligence related technologies and disciplines.
• Possess good communication and people skills in dealing with both internal customers, as well as external parties such as vendors.
• Good team player and strong leadership skills to manage multiple parties with differing agendas.

Benefits

• AL: 18 days
• Medical benefit: $500/year
• Dental benefit: $120/year
• Mobile Allowance
• Flexibenefit
• Bonuses: Civil Servant bonuses + Performance bonus

Interested applicants: kindly submit your resume to [email protected]

What Does Company Offer:

• Earn up to $2,100/month
• Full Salary during Training
• On-the-Job Training provided
• Additional Work Allowances
• Other Work Benefits
• Career Advancement
• 13th Month Bonus

Note:

Candidate must be willing to work: Monday to Friday: 12pm to 9pm

Role

The Document Imaging Specialist is a member of a team responsible for service delivery through efficient scanning operations at an Iron Mountain customer site. It is paramount for the Document Imaging Specialist to be able to provide a balance between efficiency and cost consciousness while delighting the customer by exceeding expectations.

Responsibilities

• Deliver a great service and build strong trusted relationships with client
• Deliver a range of Document Imaging services and support to the client with minimal or no supervision
• Receive, sort, batch and prepare hard copy documents for scanning
• Remove all bindings correctly, without degrading the hard copy document.
• Repair and prepare hard copy documents for auto-feed scanning as required.
• Operate and maintain high-speed production scanners equipment to scan hardcopy documents to digital form
• Ensure that all required physical pages are scanned and all scanned images are clear, complete and orientated correctly
• Capture data from scanned images accurately and completely within keystrokes performance measurements
• Perform quality checks on scanning, data entry and final digital output; rework as required.
• Restore hard copy documents to original form as required for packing into archive boxes
• Ensure daily record keeping functions are completed and reporting information is maintained
• Collaborate with the team to problem solve to ensure efficient service delivery that meets SLA
• Identify and implement opportunities for process improvement
• Move archive boxes weighting up to 6kg~10kg within storage area
• Retrieve archive boxes promptly from the storage room in response to requests
• Collaborate with team members to facilitate smooth access to archived materials
• Organize and maintain the inventory of archive boxes efficientl
• Assist in periodic inventory checks and audits
• All other duties as assigned by management

Job Requirements:

1. Experience and Education

• Minimum of 2-year experience in document processing in a regulated industry (applicants without experience will be considered for entry-level position)
• Minimum “O” Level Certification

2. Skills and Abilities

• Previous scanning and indexing experience will be added advantage
• Physical ability to lift and move archive boxes up to 6kg~10kg
• Excellent customer service mind-set and good communication skills
• Proven track record of working error-free in a fast-paced, time-sensitive environment
• Execute tasks efficiently and within tight deadlines without compromising quality
• Effective time management skills

3. Attitude and Adaptability

• A collaborative team player who enjoys working within a close-knit team.
• Basic computer literacy skills in MS Excel and Word
• Willing to be deployed across different sites on short notice
• Completion of assigned tasks and documents is mandatory by end of each day
• Mentally prepared to commit to regular overtime
• Openness to cross-functional learning and job rotation as requested by Management.

Note:

• This position requires strict adherence to company policies regarding mobile device usage and tight security. Candidates should be comfortable with these requirements prior to applying.

Responsibilities:

1. Drive analytic projects for all pillars of the bank’s treasury and markets department, such as bond analytics, news generation FX trading signals, product recommendation and customer hyper-personalization.

2. Conduct literature review and evaluate trade-offs between different quantitative algorithms and AI/ML models.

3. Utilize advanced statistical and machine learning methods to derive insights and generate predictions from large volumes of transactional, operational and customer data.

4. Implement and train AI/ ML models and optimize algorithm efficiency (GPU distributed computing, concurrent programming)

5. Write and refactor code into reusable libraries/ APIs/ tools, deploy machine learning ecosystems/ pipelines and perform sub-system integration as required.

6. Integrate solutions into enterprise MLOps ecosystem and automate CI/CD pipelines for model lifecycle maintenance and monitoring.

Required Experience;

1. Bachelor/ masters in a quantitative discipline, such as Mathematics/Statistics, Business Analytics, Computer Science, Engineering, or equivalent experience.

2. Good understanding of the data science production life cycle with demonstrable experience working with structured, semi-structured and unstructured data.

3. Excellent software skills (Python, SQL variants) and knowledge in design patterns, code optimization, object-oriented programming.

4. Demonstrable understanding and application of varied AI/ML concepts and models, their mathematical underpinnings, and trade-offs

5. Practical experience using quantitative and statistical techniques to solve business problems such as hypothesis testing, regression, causal and correlation analysis, etc.

6. Excellent verbal and written communication skills to explain insights from technical work to non-technical audience through presentation or other means.

Good to Have (At least 2 or more)

1. Familiar with Linux OS, Openshift, Kubernetes for container-based deployment.

2. Experience with language models, RAG concepts, opensource generative AI (GenAI) frameworks and prompt engineering principles.

3. Experience using open-source computer vision and Document AI models and concepts (Table recognition, handwriting recognition, key information extraction, signature detection, image understanding)

4. Solid understanding of deep-learning model architectures and experience building custom architectures.

5. Experience building data models, writing complex queries and using business intelligence/ visualization tools (Tableau)

6. Understanding of the MLOps ecosystem and experience building systems to maintain the complete model lifecycle.

7. Expert knowledge in time series analysis, statistical signal processing and related modelling techniques.

8. Deep understanding of pricing, modelling, booking, and risk across diverse products and markets.

Job Description:

• Must be a Diploma/Bachelor's Degree holder.

• Hands-on implementation experience in building full-stack Restful web Applications.

• Experience in the following domain area/Technology/Programming languages

• Communication/Data Protocols: Modbus, OPC UA/AD, IEC 101/104, TCP/IP, SFTP, MQTT, AMQP

• Programming languages: JavaScript, Python, C/C++, SQL

• Experience in Linux, Docker, PostgreSQL, And Firewall management

• Experience in Code Management and Deployment

• Certified in Microsoft Technologies will be an added advantage

• Knowledge in Azure Devops, Azure IOT and Azure sphere will be an added advantage.

Roles and Responsibilities:

• The candidate will be responsible for designing and implementing data acquisition solutions and systems that meet the requirements of our clients.

• The successful candidate will be expected to have strong problem-solving skills and be able to troubleshoot and debug complex issues.

• The candidate will also be responsible for developing and maintaining documentation for solutions, including design specifications and test plans.

*Entry-Level* Cloud Engineer | Python | AWS

Working location: Central

Working hours: Office hours (Hybrid)

Remuneration package: Basic + AWS

If you are looking for opportunities to collaborate with leading industry experts and be surrounded by highly motivated peers, we welcome you to join us. These are newly created positions with many opportunities to make a difference!

Responsibilities:

• Actively participate as a valuable member of an in-house engineering team dedicated to mastering the design, development, and operation of Cloud Platforms.
• Learn and assist in deploying and managing applications on cloud platforms under guidance.
• Explore opportunities to contribute to automation initiatives at scale across multiple Cloud Service Providers.
• Seek guidance and provide support on DevOps methodologies, focusing on Automation, Availability, Scalability, and Resiliency.
• Focus on learning and contributing to API development, backend automation using Python, and ensuring code deployment security through various CI/CD toolchains like GitLab, Atlassian, and Terraform.

Requirements:

• Basic understanding of Python programming language.
• Interest in cloud infrastructure deployment and automation.
• Eagerness to learn agile development, secure pipelines, and deployment automation practices.
• Familiarity with version control systems like Git.
• Desire to explore cloud services such as AWS, Azure, and GCP.
• Willingness to learn about challenges in large-scale distributed systems.
• Enthusiasm for code security and the use of open-source tools in relevant domains.
• Passion for automation.
• Good to have: Basic understanding of Terraform and Bash scripting.
• Good to have: Interest in Cloud Landing Zone concepts like Control Tower, Terraform Landing Zone, Microsoft Azure CAF.
• Good to have: Curiosity about Site Reliability Engineering principles and application monitoring tools.

If you are excited with this opportunity and enjoy making things happen, do apply now!

OR

Email your updated resume to: spat(at)scientecpersonnel.com by quoting "J43729" in your email subject for faster processing.

All job applications will be processed with strict confidence and only shortlisted candidates will be contacted.

Aloysius Tan Sheng Rong - R22110441

ScienTec Consulting Pte Ltd - 11C5781

Job Responsibilities:

• Design, develop, and oversee the implementation of processes and tools to assess the quality of data used in large language model (LLM) model training.
• Create metrics and KPIs to evaluate data accuracy, consistency, and relevance.
• Work with Engineering teams to develop automated logic checks that will identify inconsistencies and potential issues in the training data.
• Lead the integration of quality processes into existing data pipelines.
• Collaborate with Data Scientists to scrutinize annotation data and develop strategies for continuous data quality improvement.
• Provide feedback loops and ensure alignment of data quality with annotation guidelines.
• Engage with Machine Learning Engineers to determine how data quality variations influence LLM model performance.
• Recommend adjustments to data collection, preprocessing, and utilization based on model performance analysis.
• Keep abreast of the latest trends and advancements in data quality management.
• Recommend and implement enhancements to our quality processes, tools, and methodologies based on industry best practices.

Requirements:

• 7+ years of design/test/implementation/consulting experience in data quality management for machine learning model training.
• Strong understanding of machine learning principles, especially in the context of NLP and LLMs.
• Fundamental knowledge in relevant programming languages and tools (e.g., Python, SQL).
• Demonstrated experience in project management and cross-functional collaboration.
• Exceptional analytical, problem-solving, and organizational skills.
• Proven ability to think strategically about business, product, and technical challenges.
• Strong verbal and written communication skills with the ability to work effectively across internal and external organizations and virtual teams.

About TikTok

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.

Team Introduction

The Platform Product Management team is under TikTok Trust and Safety. Their goal is to keep the platform running smoothly and to guarantee user safety. We are Data-TnS data product & general service team. Our team mainly services TnS business and provides data solutions for the business. We provide accurate, timely, complete, and transparent data assets for the TnS business and help the business solve problems on a large scale. Specifically, we provide data products covering the complete data service process from basic data construction to data products, helping the TnS business to solve the problems encountered in the data's whole life cycle, including Data Definition, Data Access, Data Management, Data Visualization, Data Analysis, Diagnostic Insight, etc.

Responsibilities

• Responsible for the design of data products, including data monitoring, data analysis, data insight, and algorithm-related platforms;
• Work closely with the business team to develop a deep understanding of the business and provide the business with insights, recommendations, and solutions from the data perspective and analysis;
• Participate in the operation and maintenance of data products, promote product landing, continuously gather feedback from users, and keep tracking product adoption and performance;
• With strong data sensitivity, collect and analyze feedback from users, stakeholders, and other teams to shape and optimizing products and drive continuous improvement of user experience;

Qualifications

• Bachelor's degree or above, 5+ years of data product management or related experience; Preferably in Statistics, Mathematics, Computer Science, or equivalent technical degree; Data products, data analysis, data development working experience is preferred;
• Familiarity with data platforms, including but not limited to data visualization, metric management, feature management, algorithm engineering, portrait analysis, analysis and diagnosis, permission platform, etc.; Proven entire experience in planning, design, execution, and launch of successful data products;
• Data-driven and have a good sense of data; Excellent data analysis skills and strong understanding of data, data platforms, and related technologies;
• Self-motivated, practical, honest, and good at cooperation; problem-solving aptitude, the ability of excellent workload management, and willingness to accept challenges;
• Excellent communication and collaboration skills, detail oriented and receptive to feedback;

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Key Responsibilities
Primary Responsibilities and Duties (80%)

• Working with stakeholders and users, perform data analysis, trend observations and derive actionable insights to drive improvement initiatives.
• Ensure proper extraction, validation, and storage of data from various systems.
• Conceptualise and develop operational dashboards to meet the business needs and to provide quality oncology care.
• Work with the team to design and architect the workflow of the data and algorithms including data input, output and storage between various health IT systems.
• Perform data analytics and/or data mining from various systems
• Collate clinical and management information for the department and hospital.
• Provide regular updates highlighting concerns to Section Heads and Head of Department.

Secondary Responsibilities and Duties (20%)

• Manage IT projects and/or new system implementation.
• Oversee design, development, and maintenance of in-house application systems.
• Track department's servers, workstations, and end-user equipment.
• Collate annual budget for IT systems, equipment, and software. Coordinate acquisition and implementation.
• Assess operational needs and recommend and implement IT solutions.
• Oversee Informatics team and ensure staff meet KPIs.
• Perform other assignments as delegated by Sections Head and Head of Department.

Key Requirements

• A recognised degree in Mathematics, IT or Data Analytics with at least 4 years of relevant experience
• Good system and data analysis and reporting skills. Knowledge in data visualisation / analytical / statistical tools (e.g., Tableau, R, Python) will be an advantage.
• Good organisational and interpersonal skills
• Practical knowledge of hospital operations, medical systems/applications, data analytics would be an advantage.

Only shortlisted candidate will be notified.

To apply, please visit to www.gmprecruit.com and search for Job Reference: 23945

GMP Recruitment Services (S) Pte Ltd | EA Licence: 09C3051 | EA Personnel: Jaremy Ong | Registration No: R1876766

Summary :

• Basic Salary (Retail Assistant) : 1900 - $2200 + Allowances + Comm
• Location : Changi Airport/ Central Area
• 5 Days, 44hour/ Week
• No experience is required. Training will be provided
• Multiple headcount available
• MNC Company with great career advancement

Job Scope:

• Attend to customer enquiries
• Provide recommendation and upmost customer service to the customer
• Restock and maintain cleanliness or the store
• Ad hoc duties as assigned

Requirements:

• Entry level are welcome to apply. Training will be provided
• No experienced is required.
• Candidate with leading experience will be considered as supervisory role

To Apply, kindly click on the "APPLY NOW" button

We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | Jasmine Wong (R22107578)

Embark on a Career That Impacts Lives

Are you a university student in Singapore looking to jumpstart your career path, or seeking a dynamic role in a fast-growing industry? The role as a Financial Advisor offers the perfect blend of flexibility, entrepreneurial spirit, and unlimited earning potential. Join us and explore a fulfilling career in financial consultancy.

Key Responsibilities:

· Financial Strategy Development: Assess clients’ financial situations to devise strategies that meet their financial goals.

· Insurance and Financial Advice: Provide guidance on insurance and financial planning in areas like retirement, education, and investments using our comprehensive product suite.

· Client Relationship Management: Regularly review and follow up with clients to adapt their financial plans to life changes.

· Financial Analysis: Prepare and interpret financial summaries, investment reports, and income projections for clients.

· Client Network Building: Establish and maintain strong relationships with a growing client base.

Benefits & Rewards:

1. Tailored Training: Gain essential certifications and skills through structured courses, with ongoing support from dedicated managers.

2. Funding Programme: Benefit from our corporate financing scheme, supporting you in the first 24 months of your career.

3. Attractive Rewards: Experience our 'work hard, play hard' ethos, with incentives for top performers.

4. Flexible Income Structure: Earn uncapped income through a multilayered incentive system, including commissions, performance incentives, annual bonuses, and exclusive incentive trips.

Qualifications:

· Obtained a poly diploma, JC cert or degree in any field.

· Driven by results and motivated by performance-based rewards.

· Strong interpersonal skills with a passion for empowering others financially.

Ideal for University Students / Fresh Entry / Mid-Career:

· Flexible Working Hours: Perfectly suitable for balancing studies and work.

· Entrepreneurial Experience: Learn how to manage and grow your own business even while studying.

· Mentorship from Success Stories: Be guided by mentors who began their successful careers as students, including one who earned S$90K/month during their days at NUS.

· Embark on this journey to not just build a career, but to make a meaningful impact. Apply now and shape your future while shaping others!

Mandatory Skills

• CAT-1 cleared/eligible candidate is required for this role.
• Experience in data analysis.
• Experience in managing data reconciliation/quality checks (implementation, monitoring and troubleshooting).
• Hands-on experience with Oracle PL/SQL.
• Experience in performing UAT.
• Able to manage SLA and queries from end users.
• Experience in providing documentation support, e.g. in technical/functional specifications.
• Possess finance domain knowledge.
• Good problem solving and logical thinking.

Skillsets (Good to have)

• Snowflake
• Denodo

Brief Job Description

Summary:

supporting data management operations activities for U2ID and TPDM applications.

Mandatory Skills

• CAT-1 cleared/eligible candidate is required for this role.
• Experience in data analysis.
• Experience in managing data reconciliation/quality checks (implementation, monitoring and troubleshooting).
• Hands-on experience with Oracle PL/SQL.
• Experience in performing UAT.
• Able to manage SLA and queries from end users.
• Experience in providing documentation support, e.g. in technical/functional specifications.
• Possess finance domain knowledge.
• Good problem solving and logical thinking.

Skillsets (Good to have)

• Snowflake
• Denodo

East (Changi) / Central (Orchard/ River valley / Robertson Quay/ China Square) *location depending on availability
5 days’ across mon – sun, 44 hours/ wk.
Rotating across:7.00am - 4.30pm, 1.00pm - 10.30pm, 10.30pm - 7.00am
(If dont want overnight shift, can opt for service apartment position)
Salary budget : $2500 (entry level) - $2900 (if experienced) + VB + night shift allowance + flexi benefits!

Duties
-Answer phones calls professionally
-Register guests, issue room keys, provide information on hotel services and room location.
-Work closely with the Duty Managers (DM)/Guest Relations Executive (GRE) to ensure daily operations in Front Office are run smoothly.
-Respond appropriately to guest complaints and do service recovery
-May routinely book guest reservations, process cancellations, revisions, and information updates on changes.
-Perform other duties as assigned

Requirements:
- Preferably those with front office experience / front facing roles in customer oriented industry
- Good command of spoken English

Interested applicants, please send your resume to aliciasl.lim[at]recruitfirst.co

Alicia Lim Si Le
R2197748
EA License No: 13C6342
Only shortlisted candidates will be contacted.Thank you

• Food Manufacturer
• Basic $2500
• 5 days (Office Hours)
• Location: Pandan Loop

Responsibilities (Entry Level):

• Performs day-to-day broad range of HR activities including recruitment from on-boarding to off-boarding, leave administration, payroll, benefit & training administration.
• Handle NSmen make-up claim, paternity, maternity, childcare leave, medical & insurance claims.
• Administer work pass applications, cancellation and renewal.
• Administration of training related matters.
• Maintain accurate HR database and up-to-date employee records.
• Ensure up to date maintenance of all training procedures and records in accordance to ISO requirement and government legislation.
• Generates and maintain regular HR reports as required.
• Perform other ad-hoc projects or duties when required.

Requirements:

• Preferably with Diploma in Human Resource or Business.
• With experience in HR process will be added advantage.
• Open to candidates with no experience as well.
• Well verse in Microsoft office (Words, Excel and PowerPoint)

For consideration, kindly submit your CV by clicking “APPLY Now.”

**Only shortlisted candidate would be notified**

EA Reg. No: R1873990 | Lucky Lee Ding Cong