Job Summary

You will be working with a team of professional engineers to challenge status quo, think different, thrive in ambiguity to meet mission objectives of our customers. You will lead a team of software engineers and work closely with other cross functional teams, Service Delivery Managers and Project Managers to deliver quality satellite ground software systems to our customers.

Job Responsibilities

• Drive the design and architecture of satellite ground control and antenna management software systems.
• Lead software team in implementing design, testing, verification, and validation of all software components.
• Implementation of cybersecurity measures for software applications
• Generate and maintain software development documentation.
• Plan and provide necessary software maintenance, training, and consultancy to users on the deployed software.
• Continuously develop new skills & techniques in software technologies to improve and reduce software development time and effort.
• Participate in the definition and development of future products.
• Collaborate with various stakeholders including customers, and engineering teams across organizations.
• Able to challenge the status quo, think different, thrive in ambiguity, care for team members and being ever curious.

Job Requirements

• Knowledge in Computer Engineering or related field.
• At least 8 years’ experience in mission critical system software development.
• Proficient in developing full stack applications, preferably with C#, JS.
• Experience with database, API design, network architecture, message broker, and cloud technologies.
• Experience with core engineering infrastructure tools such as GIT servers, CI/CD pipelines, Container Technologies.
• Familiar with agile software development lifecycles.
• Good understanding of hardware.
• Able to communicate in English and work in a fluid, innovative environment.
• Singaporean only

Please submit resumes to [email protected] with the following details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Design and implement AI for software engineering solutions
• Conduct evaluations and/or user studies to validate the effectiveness of the algorithms and tools
• Write and publish research papers and present them to reputable academic conferences
• Package the documents, implementation code, evaluation results of the project for release
• Liaise with other team members of this project to realize the overall goal of the project

• Minimum Master Degree in Software Engineering/Computer Science/Computer Technology/ Information Systems from a top-tier or local university
• Minimum 1 year of relevant research experience in software engineering
• Excellent knowledge about software engineering research
• Excellent knowledge about AI• Highly fluent in programming
• Competent in designing and implementing algorithms and data structures
• Excellent oral and written communication skills
• Excellent analytical, technical and problem solving skills
• Self-motivated individual who can work independently and also collaboratively with team members
• Able to work under strict deadlines

#LI-JN2

Your Role
We are looking for an experienced Senior Sales Engineer / Sales Engineer (Laboratory/ Electronic Testing) to develop & identify business opportunities including sales visits, preparation of proposals, products & proposals presentation, contracts negotiation and closing of sales.

What Will You Do

• To develop and identify business opportunities
• To do sales visits, preparation of proposals & closing of sales
• To develop sales strategies for the growth of existing and new accounts
• To market wide range of products and provide customers with solutions
• To meet sales quota set and participate in yearly and periodic budget exercises.

What Do We Want

• At least Diploma/ Degree in Electronic/ Telecommunication / Engineering in relevant fields
• Min 2-3 years of relevant work experience in electronic testing / laboratory fields.
• Good communication skill & has pleasant personality and positive attitude.
• Possess own transport will be advantage.
• Willing to travel.

What Will You Get In Return
You will be given exposure to a hold a key position in a growing organization with attractive rewards and a wide range of benefits. You will entitle a Gross salary up to S$3800 + attractive perks.

What You Need to do Now
Click "Apply" and please include the following information in your resume:

• Personal Particulars with recent photograph
• Education background
• Work experiences in point forms
• Reason(s) for leaving
• Current and Expected salary
• Date of availability / Notice Period

Note:
Only shortlisted candidate will be notified via email for an interview invitation

Your Role
We are looking for an experienced Customer Service Officer / Administrative Assistant to handling of daily order processing PO, DO, invoice and customer. You will follow up with customers stock queries, shipments, delivery, GRN and complaints. To liaise with different party for parties for customers delivery schedules. To prepare and perform inbound, outbound and inventory reports. To manage trucking container and shipping instructions for warehouse with Freight team.

What Will You Do

• · Handling of daily order processing PO, DO, invoice and customer
• · Follow up with customers stock queries, shipments, delivery, GRN and complaints
• · Liaise with different party for parties for customers delivery schedules
• · To prepare and perform inbound, outbound and inventory reports
• · Manage trucking container and shipping instructions for warehouse with Freight team
• · Other ad-hoc assigned by manager

What Do We Want

• · At least N Level and above
• · Min 1-2 years of relevant customer service experience in Shipping/Logistics
• · Proficient in Microsoft Office applications (Outlook, Excel, Word)

What Will You Get In Return
You will be given exposure to a hold a key position in a growing organization with attractive rewards and a wide range of benefits. You will entitle a Gross salary up to S$3000 + attractive perks.

What You Need to do Now
Click "Apply" and please include the following information in your resume:

• Personal Particulars with recent photograph
• Education background
• Work experiences in point forms
• Reason(s) for leaving
• Current and Expected salary
• Date of availability / Notice Period

Note:
Only shortlisted candidate will be notified via email for an interview invitation

Outbound Call Associate

• Proactive contact and engage customers to gather critical information through survey activities

• Meet and achieve the individual and company’s key performance indicators

• Acquire a strong knowledge of the products and services, culture and processes

• Provide quality customer service and prompt follow-up to customers over the phone and/or email

• Listen to customers’ needs, probe to redirect to the intent of the question and offer alternative solution

• Resolve customer queries efficiently and escalate issues promptly

• Submit regular reports to Team Lead and propose new ideas and strategies to improve work performance

• Other duties as assigned by Team Lead and/or Branch Head

Requirements

• Diploma / NITEC / GCE ‘O' Level or equivalent
• Minimum C5 for English O level
• Preferably with 1 to 2 years of working experience in call centre environment and/or service related industry


Special Knowledge or Skills:
• Pleasant disposition with good communication skills
• Fluency in a second language
• Computer literate and good typing skills

Please submit resumes to [email protected] with the following details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

ABOUT US

LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

POSITION
NLP Engineer

REPORTING STRUCTURE

The NLP Engineer will report to the Senior AI Solutions Architect of LawNet Technology Services (LTS).

ABOUT THE ROLE
As an NLP Engineer at LTS, you will play a crucial role in developing and enhancing our AI-driven products and services. We're seeking a skilled Data/NLP Engineer to join our team to develop and drive a data strategy to optimise model performance and manage the data pipelines for training and evaluating our custom LLMs.

RESPONSIBILITIES

• Work closely with domain experts to understand data sources, formats and structure.
• Collaborate with Machine Learning Engineers and MLOps Engineers to understand data requirements for LLM training and inference.
• Engage in data engineering tasks, including data collection, preprocessing, quality control and augmentation to ensure high-quality datasets for model training.
• Develop from scratch and fine-tune both traditional NLP and LLM models on LTS cloud infrastructure, optimizing for safety and performance (measurable via benchmarks)
• Collaborate with domain experts and carry out independent research to optimise and develop product evaluation suites to measure model and product performance.
• Explore and implement techniques for mitigating bias and ensuring fairness within the training data for the LLM.
• Lead in the development and implementation of strategies for data augmentation improve LLM performance.
• Collaborate with AI and MLOps Engineers to integrate NLP models into automated pipelines.
• Stay abreast of the latest NLP techniques and methodologies, experimenting with new models and approaches to maintain our competitive edge.
• Conduct rigorous testing and validation of NLP models to ensure robustness and reliability.
• Document and present model development processes, results, and insights to both technical and non-technical stakeholders.

SKILLS & QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Linguistics, or a related field.
• Proven experience in NLP or related areas, with a strong portfolio of projects demonstrating expertise in data engineering and model training/finetuning.
• Solid understanding of machine learning algorithms, language modeling, and their applications.
• Proficiency in programming languages such as Python, and experience with NLP libraries (e.g., NLTK, spaCy, Hugging Face).
• Experience with cloud computing platforms and services, and the ability to deploy and manage large models in a cloud environment.
• Strong problem-solving skills, with a creative and analytical approach to tackling complex challenges.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

The level of offer and appointment designation will commensurate with applicants’ relevant experience and track records. Successful candidate will be offered a 2-year contract in the first instance.

Please provide your resume, including details of your currently monthly salary, total annual compensation package, and salary expectations.

ABOUT US

LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

POSITION

MLOps Engineer

REPORTING STRUCTURE

The MLOps Engineer will report to the Senior AI Solutions Architect of LawNet Technology Services (LTS).

ABOUT THE ROLE

We are seeking an experienced MLOps Engineer specializing in large language models at LawNet Technology Services. You will be at the forefront of operationalizing and scaling our AI capabilities. This role demands a unique blend of skills in machine learning, software engineering, and cloud technologies to efficiently deploy, monitor, and manage our large language models in production. Your expertise will directly contribute to the reliability, efficiency, and scalability of our AI services.

RESPONSIBILITIES

• Design and implement robust MLOps pipelines tailored for large language models, ensuring seamless transition from development to production.
• Work closely with data scientists and AI researchers to automate and optimize the model training, fine-tuning, inference and evaluation processes for our large language models on cloud infrastructure.
• Ensure the LLM can be seamlessly integrated with the serving infrastructure managed by the software engineering team.
• Explore and implement techniques for continuous learning of the LLM as new user data becomes available.
• Develop and implement strategies for monitoring model performance (accuracy, latency, fairness) in production.
• Set up alerts and dashboards to proactively identify and troubleshoot potential issues with the LLM.
• Stay up-to-date on the latest advancements in MLOps tools and methodologies.
• Implement monitoring and logging systems to track model performance, resource utilization, and operational health, enabling proactive maintenance and optimization.
• Ensure compliance with data privacy and security protocols throughout the model lifecycle.
• Facilitate continuous integration and delivery (CI/CD) processes for machine learning models, incorporating automated testing and quality assurance practices.
• Collaborate with stakeholders to understand operational requirements and challenges, translating them into technical solutions that enhance our AI capabilities.
• Stay updated with the latest advancements in MLOps, cloud technologies, and large language model development, incorporating best practices to maintain our competitive edge.

SKILLS & QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Solid experience in MLOps, DevOps, or software engineering, with a specific focus on machine learning and large language models.
• Strong experience in building and managing machine learning pipelines.
• Proficiency in cloud computing platforms (AWS, GCP, Azure) and services related to machine learning and large-scale computing.
• Strong background in containerization and orchestration technologies (Docker, Kubernetes), as well as infrastructure as code (Terraform, CloudFormation).
• Demonstrated ability in programming with Python and experience with ML frameworks (TensorFlow, PyTorch, Hugging Face).
• Understanding of best practices for data security, privacy, and compliance in the context of AI and machine learning.
• Excellent problem-solving skills, with the ability to work in a fast-paced, evolving environment.

The level of offer and appointment designation will commensurate with applicants’ relevant experience and track records. Successful candidate will be offered a 2-year contract in the first instance.

Please provide your resume, including details of your currently monthly salary, total annual compensation package, and salary expectations.

Assist and report to the Project Manager at construction site.

Ensure works are carried out according to the approved technical drawings, quality procedures, EHS and ISO requirements.

Ad-hoc matters as assigned by the PM which is necessary for the execution of the project.

EA Licence No. 16C7962

ABOUT US
LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

POSITION
AI/ML Engineer (Backend)

REPORTING STRUCTURE

The AI/ML Engineer will report to the Senior AI Solutions Architect of LawNet Technology Services (LTS).

ABOUT THE ROLE
As an AI/ML Engineer at LTS, you will play a crucial role in developing and enhancing our AI-driven products and services. We're seeking a talented Software Engineer to join our team and be responsible for deploying, maintaining, and scaling the infrastructure that serves our custom LLMs for a variety of use cases.

RESPONSIBILITIES

• Design, develop, and implement highly scalable backend services on AWS to support efficient training and inference of our LLM.
• Keep abreast of developments in AWS or other services to manage the LLM training and inference operations.
• Develop and optimise APIs to facilitate communication between the LLM and frontend applications for user interaction with functionalities from a variety of use cases.
• Design and implement data pipelines for efficiently moving training data to and from the LLM training environment on AWS (e.g., S3 Buckets, EFS storage).
• Integrate containerization technologies like Docker and container orchestration platforms like Amazon Elastic Kubernetes Service (EKS) for managing the LLM inference environment.
• Configure and implement robust security practices within your backend services to protect the LLM and user data at rest and in transit.
• Develop and implement logging and monitoring solutions (e.g., CloudWatch Logs, CloudWatch Metrics) to track the health and performance of the backend infrastructure and the LLM.
• Collaborate with ML and Front Eng Engineers to understand their specific requirements for training and inference, and translate those needs into efficient backend solutions.
• Collaborate with MLOps Engineers to automate the deployment and management of backend services and the LLM.
• Stay up-to-date on the latest advancements in AWS services relevant to backend development and LLM infrastructure.

SKILLS & QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Linguistics, or a related field.
• Proven experience in NLP or related areas, with a strong portfolio of projects demonstrating expertise in data engineering and model training/finetuning.
• Solid understanding of machine learning algorithms, language modeling, and their applications.
• Proficiency in programming languages such as Python, and experience with NLP libraries (e.g., NLTK, spaCy, Hugging Face).
• Familiarity with popular vector database platforms like Pinecone, Faiss, or Milvus would be beneficial.
• Experience with cloud computing platforms and services, and the ability to deploy and manage large models in a cloud environment.
• Experience with data pipelines and data processing tools on AWS (e.g. AWS Lambda).
• Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation
• Strong problem-solving skills, with a creative and analytical approach to tackling complex challenges.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

The level of offer and appointment designation will commensurate with applicants’ relevant experience and track records. Successful candidate will be offered a 2-year contract in the first instance.

Please provide your resume, including details of your currently monthly salary, total annual compensation package, and salary expectations.

Responsibilities:

· To ensure safety measures are in place

· To be responsible for the management and implementation of WSH policy and coordinate compliance with WSH

Requirements:

· MOM registered WSH Officer

· Minimum 2-3 years relevant working experience in cleaning industry

· Good knowledge of Government Regulations relating to Occupational Safety Health and Environment

-DAILY SUPERVISE ON OPERATION TEAM OUTDOOR

-ARRANGEMENT OF MANPOWER AND EQUIPMENT FOR DAILY OPERATION

-MAKE DAILY REPORT TO MANAGER

-MUST HAVE CLASS 3 DRIVING LICENSE

-MUST ABLE TO WORK IN OUTDOOR ENVIROMENT

-CAN ACCEPT DIRTY AND SMELLY ENVIROMENT

-MUST CAN ACCEPT DO OVERTIME AND HAVE SHIFT TO ROTATE

-HANDLE ALL THE OPERATION OF THE COMPANY

-MEETING AND FOLLOW UP WITH CUSTOMER WITH THE CURRENT PROJECT

-MUST REPORT WEEKLY TO COMPANY DIRECTOR ABOUT COMPANY ON-GOING PROJECT OR COMPLETED PROJECT

-MUST HANDLE THE COMPANY RAW MATERIAL AND CHEMICAL PURCHASE

-MUST HAVE CLASS 3 DRIVING LICENSE

-ABLE TO WORK ON PUBLIC HOLIDAY AND OVERTIME

• To handle M & E works within hotel building
• To manage on building Electrical, aircon, lighting, plumping and equipment service and maintenance
• Able to perform hand on Electrical & Maintenance works within Building
• To work according to the schedules and duties
• To handle duties assigned by Manager

Requirements

• NITEC / Higher Nitec in Electrical & Mechanical Engineering with 3 years of Building / Hotel Electrical Maintenance work experience
• Candidate must be able to perform 3 rotating shift work
• Working location at Orchard Area

Position Summary:

The Senior AV Service Engineer is responsible for providing technical support, data collection, coordinating maintenance and operation activities to ensure the optimal operation of autonomous vehicles.

Key Responsibilities:

Level 1 Troubleshooting and Technical Support:

• Provide on-site Level 1 troubleshooting support (when activated) and debugging for technical issues encountered. Work with Level 2 support to identify, diagnose, and resolve basic configurations concerns, or minor hardware malfunctions.
• Collaborate with specialized teams or senior engineers to escalate complex issues beyond Level 1 for further analysis and resolution.
• Offer comprehensive customer support by resolving queries, providing technical assistance, and ensuring customer satisfaction.

Data Collection and Analysis:

• Execute routine data collection processes from data loggers, onboard sensors, software systems, diagnostic tools and feedback forms
• Analyze collected data to identify performance patterns, trends, and potential areas for optimization or preventive maintenance

Maintenance Coordination:

• Conduct and facilitate regular inspections, diagnostic tests, and scheduled maintenance for all vehicle assets including on-board equipment to ensure optimal functionality and safety.
• Develop maintenance schedules, ensuring adherence to protocols and manufacturer's guidelines for regular inspections, software updates, and component replacements.

Documentation and Reporting:

• Maintain meticulous records of Level 1 troubleshooting procedures, data collection findings, and maintenance activities performed on the buses.
• Generate detailed reports outlining identified issues, recommended solutions, and actions taken for each maintenance task or diagnostic analysis.

Operational Coordination:

• Coordinate operational activities including scheduling, resource allocation, and route optimization for the AV fleet.
• Collaborate with engineering, operations, and management teams to facilitate coordination between technical tasks and operational requirements.
• Propose and implement improvements to enhance operational efficiency, reliability, and customer satisfaction.

Any other additional duties not listed above but deemed appropriate for product and operations support by project basis.

Qualifications:

• Minimally a diploma in relevant Engineering field with equivalent work experience, with a focus on mechatronics preferred
• Familiarity with Unix (Ubuntu) environment
• Good understanding of Class 4 autonomous buses equipped with SAE Level 4 autonomy, including sensor technology, control systems, and software.
• Proficiency in Level 1 troubleshooting, data collection methodologies, and coordination of maintenance activities for Class 3 and 4 vehicles and electronics equipment
• Excellent communication skills and the ability to collaborate effectively with technical teams and stakeholders.
• Dedication to meticulous documentation and reporting practices.
• A Class 3/4 driving license will be an added advantage.

Experience:

• 3-5 years of hands-on experience in service engineering, technical support and/or operations coordination. Prior experience related to Class 3 and 4 vehicles will be an advantage.

• Mondays to Fridays; Office hours

• Walking distance from MRT Station

• Salary: S$2500-2800/month

Job Responsibilities:

• Perform total preventive maintenance (TPM) procedures, inspections, basic troubleshooting on mechanical and hydraulic equipment/equipment failure

• Conduct regular maintenance tasks at the facilities

• Allocate appropriate resources to execute work orders

• Assess the need of mechanical spare parts to avoid delays in TPM

• Maintain and complete timely records

• Organise small workshop activities, incorporate efficient ways to maintain new equipment/plant, supervise external vendors

• Be involved in installation and commissioning processes

• Ensure all maintenance activities carried out are according to policies and regulations

• Assist Maintenance Supervisor (Mechanical) when needed

• Perform ad-hoc duties as required

Job Requirements:

• Minimum NITEC / Diploma in Mechanical Engineering or equivalent and above

• Minimum 1-2 years’ experience in a Power Plant environment

• Preferrable to have knowledge in plant operations

Interested and suitable candidates, please email your CV in MS Word to

[email protected]

Ammerline Lam Sze Yi (Ms)

Division Manager

CEI Registration No.: R1104463

Celecti Pte Ltd.

EA License: 16C8045

Personal Data Protection

“By submitting your curriculum vitae or disclosing your personal information in connection with your job application, you are deemed to have read and agreed to the terms of our Privacy Policy, and consented to the collection, use and disclosure of your personal data by us, in accordance with our Privacy Policy. Please access our website at www.celecti.com.sg for a copy of our Privacy Policy.”

Job Responsibilities:

1. Handle user questions and feedback across customer service platforms, communities, emails, and other channels.
2. Assist in improving the product experience by collecting user opinions and operational data, organizing it, and promptly providing feedback to the operations department for follow-up.
3. Suggest product improvements from the user’s perspective, efficiently resolve user issues, and strengthen user engagement.

Job Requirements:

1. Bachelor’s degree or above, with 0-3 years of customer service experience.
2. Strong business English reading and writing skills; able to communicate with users in both Chinese and English.
3. Proficient in data analysis and logical reasoning, with good copywriting skills.
4. Proactive, patient, responsible, and approachable.
5. Singapore citizen or PR only.

You will be responsible for your target, including the following job responsibilities:

· Engage and establish good relationships with Prospects, from an assigned pool of leads.

· Maintain a high level of professionalism and service while speaking to Prospects or Clients.

· Manage appointment cancellations and reschedule new appointments with prospects promptly.

· Conduct regular calls with the Prospect or Client to book appointments for him/her.

· Call Prospect or Client to remind them of their appointment.

· Any other ad hoc duties assigned by the supervisor or Management.

Requirements:

· Minimum 1 year of outbound call center experience.

· Excellent interpersonal and communication skills.

· Good language proficiency to correspond with English and Mandarin-speaking clients for booking of appointments.

Company Profile:

Ezyhealth Holdings Pte Ltd, started in 1999 was listed in the Stock Exchange of Singapore in 2000. It underwent a reverse takeover in 2006 and it is now a private company. From its beginning as a Healthcare IT company, it has morphed into several businesses deep in the medical and healthcare industry.

Job responsibilities:

You will be responsible for your target, including the following job responsibilities:

· Engage and establish good relationships with Prospects, from an assigned pool of leads.

· Maintain a high level of professionalism and service while speaking to Prospects or Clients.

· Manage appointment cancellations and reschedule new appointments with prospects promptly.

· Conduct regular calls with the Prospect or Client to book appointments for him/her.

· Call Prospect or Client to remind them of their appointment.

· Any other ad hoc duties assigned by the supervisor or Management.

Requirements:

· Minimum 1 year of outbound call center experience.

· Excellent interpersonal and communication skills.

· Good language proficiency to correspond with English and Mandarin-speaking clients for booking of appointments.

You will be responsible for your target, including the following job responsibilities:

· Engage and establish good relationships with Prospects, from an assigned pool of leads.

· Maintain a high level of professionalism and service while speaking to Prospects or Clients.

· Manage appointment cancellations and reschedule new appointments with prospects promptly.

· Conduct regular calls with the Prospect or Client to book appointments for him/her.

· Call Prospect or Client to remind them of their appointment.

· Any other ad hoc duties assigned by the supervisor or Management.

Requirements:

· Minimum 1 year of outbound call center experience.

· Excellent interpersonal and communication skills.

· Good language proficiency to correspond with English and Mandarin-speaking clients for booking of appointments.

You will be responsible for your target, including the following job responsibilities:

· Engage and establish good relationships with Prospects, from an assigned pool of leads.

· Maintain a high level of professionalism and service while speaking to Prospects or Clients.

· Manage appointment cancellations and reschedule new appointments with prospects promptly.

· Conduct regular calls with the Prospect or Client to book appointments for him/her.

· Call Prospect or Client to remind them of their appointment.

· Any other ad hoc duties assigned by the supervisor or Management.

Requirements:

· Minimum 1 year of outbound call center experience.

· Excellent interpersonal and communication skills.

· Good language proficiency to correspond with English and Mandarin-speaking clients for booking of appointments.

You will be responsible for your target, including the following job responsibilities:

· Engage and establish good relationships with Prospects, from an assigned pool of leads.

· Maintain a high level of professionalism and service while speaking to Prospects or Clients.

· Manage appointment cancellations and reschedule new appointments with prospects promptly.

· Conduct regular calls with the Prospect or Client to book appointments for him/her.

· Call Prospect or Client to remind them of their appointment.

· Any other ad hoc duties assigned by the supervisor or Management.

Requirements:

· Minimum 1 year of outbound call center experience.

· Excellent interpersonal and communication skills.

· Good language proficiency to correspond with English and Mandarin-speaking clients for booking of appointments.

You will be responsible for your target, including the following job responsibilities:

· Engage and establish good relationships with Prospects, from an assigned pool of leads.

· Maintain a high level of professionalism and service while speaking to Prospects or Clients.

· Manage appointment cancellations and reschedule new appointments with prospects promptly.

· Conduct regular calls with the Prospect or Client to book appointments for him/her.

· Call Prospect or Client to remind them of their appointment.

· Any other ad hoc duties assigned by the supervisor or Management.

Requirements:

· Minimum 1 year of outbound call center experience.

· Excellent interpersonal and communication skills.

· Good language proficiency to correspond with English and Mandarin-speaking clients for booking of appointments.

We are a pest control company with stable development and growing team. We are committed to serving the public with sincerity and are looking for two administrative service personnel with the same philosophy.

Job scope:

Follow up with customer queries and provide excellent customer service(whatapp and email)

Liaise with the relevant department /staff arrording to resolve the customer's requests/feeback in a timely and professional manner

Proactively handle the customers feedbacks and recovery channel and customer satisfaction

Prepare and manage invoices,ensuring accuracy and timely processing

Organize customer contacts and sales date efficiently

Daily administrative duties as per assigned

Requirements:

Having a positive attitude and take pride in your work

self motivated and meticulous

willing to learn and adapt

Good interpersonal and communication skills

5.5 days work week

13th month annual bonus

We are looking for a dedicated Field Application Engineer to join our team. This role involves providing technical support and troubleshooting for our IC interface products in the field, ensuring high-quality performance and compliance with cleanroom standards.

Key Responsibilities:

• Provide hands-on troubleshooting and support for IC interface products at customer sites.
• Ensure compliance with cleanroom standards during all field activities.
• Collaborate with clients to understand their technical needs and offer solutions.

Requirements:

• Candidates must possess at least an ITE or Diploma in Mechanical Engineering or an equivalent qualification.
• Strong hands-on skills with small mechanical parts are essential.
• Familiarity with AutoCAD 2000, R14, and SolidWorks is a plus.
• Excellent problem-solving skills and the ability to work independently in the field.

For interested applicant, kindly send your resume in Word/PDF format, including the following in your resume

1. Current Salary
2. Expected Salary
3. Availability
4. Reason for leaving

Thank you for your application and we regret that only shortlisted applicants will be notified
By submitting any application or resume to us, you will be deemed to have agreed & consented to us collecting, using, retaining & disclosing your personal information to prospective employers with the services provided by us.

EA (18C9514/R23118479)

About Our Client:
Our client is a distinguished leader in the Oil & Gas and Petrochemical sectors, renowned for its engineering prowess and dedication to delivering landmark projects. As a reputable EPC contractor, they push the boundaries of what’s possible in infrastructure solutions, emphasizing innovation, safety, and sustainability to bring complex visions to life. This organization is at the forefront of engineering excellence, setting industry benchmarks throughout the region.

Why Join This Team?
Joining our client means becoming part of an inspiring and forward-thinking team that values your expertise and fosters your growth. This role offers you the opportunity to shape major engineering projects, making impactful contributions that resonate across industries. With an environment built around cutting-edge technology, collaborative problem-solving, and continuous professional development, you’ll thrive in a workplace that rewards ambition, innovation, and dedication.

Job Overview:
As a Senior Piping Engineer, you will lead and oversee all aspects of piping projects, ensuring precision in design and seamless execution. This position requires close coordination with multiple engineering disciplines, making it ideal for a seasoned engineer with a passion for leadership and technical excellence. Your role will be instrumental in steering projects toward success while mentoring junior engineers and driving improvements within the piping department.

Key Responsibilities:

• Drive the creation and refinement of piping layouts, material take-offs (MTOs), and 3D model evaluations for intricate piping systems.
• Analyse stress and vibration data, offering technical expertise and recommendations.
• Collaborate closely with multidisciplinary teams to ensure cohesive project progress.
• Oversee technical specifications, support standards, and material selection to meet project requirements.
• Conduct regular progress assessments and provide strategic recommendations for project alignment.
• Offer technical guidance during construction and installation phases to ensure successful project outcomes.
• Mentor and guide junior engineers, promoting a culture of quality and efficiency in design.

Requirements:

• Bachelor’s Degree in Mechanical Engineering or a related field (or equivalent experience).
• At least 12 years of experience in piping design, stress evaluation, and construction engineering support, including 5 years in a supervisory capacity.
• Proficient in AutoCAD and 3D modelling tools (e.g., Navisworks or SPR).
• Strong technical knowledge of piping stress/vibration analysis, material selection, and system design.
• Exceptional leadership and communication skills, with the ability to guide and motivate multidisciplinary teams.

How to Apply:
Please submit your CV and cover letter via the CareersFuture portal or email your resume to [email protected]

Only shortlisted candidates will be contacted. We look forward to exploring your potential!

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Tan Chee Beng | EA Reg No: R24121894