WHO WE ARE:

Build. Scale. Sustain.

PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

• We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +650 experts from +50 nationalities)
• We are robust and resilient (100% independent and 0 debt)
• We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence
• We are positive, courageous, caring, doers and committed to excellence

YOUR ROLE:

The Senior Data Engineer will work on acquiring, storing, governing and processing huge sets of structured / unstructured data. You will bring a vision of the big data solutions landscape for choosing optimal architecture components to use for these purposes as well as a set of data engineering skills for implementing enterprise data foundations such as data lake. Finally, you will work closely with other PALO IT experts in Data Intelligence, Research, UX Design, Digital Technology and Agile teams to enable intelligence in the digital mesh of our clients and deliver big impact to them.

YOUR RESPONSIBILITIES:

• Design, implement, and maintain robust and scalable data pipelines to ingest, transform, and process structured and unstructured data from various sources.
• Build and manage data warehouses and data lakes, implementing efficient data storage and retrieval mechanisms. Design data models that support business requirements and analytics use cases.
• Leverage cloud platforms (e.g., AWS, Azure, GCP) to design and deploy scalable data infrastructure, optimizing for performance, cost-effectiveness, and reliability.
• Implement data quality checks, validation processes, and data governance frameworks to ensure data accuracy, integrity, and compliance with security standards.
• Continuously monitor and optimize data pipelines and infrastructure to improve processing speed, reduce latency, and enhance overall system performance.
• Work collaboratively with data scientists, analysts, and other stakeholders to understand their data needs, provide technical expertise, and deliver solutions that meet business objectives.
• Support business users by implementing data presentation layer including data visualisation using tools like Tableau, PowerBI etc.
• Stay up-to-date with emerging technologies and industry trends in the big data and data engineering space, evaluating and implementing innovative solutions to improve data processing capabilities.
• Support the definition and optimization of underlying data infrastructure

WHO YOU ARE:

• You hold a Bachelor's, Master's, or Ph.D. degree in IT, Information Management, and/or Computer Science with at least 6 years of experience.
• Good knowledge of the big data technology landscape and concepts related to distributed storage/computing
• Experience with big data frameworks (e.g. Hadoop, Spark) and distributions (Cloudera, Hortonworks, MapR)
• Experience with batch & ETL jobs to ingest and process data from multiple data sources
• Experience with NoSQL databases (e.g. Cassandra, MongoDB, Neo4J, ElasticSearch)
• Experience with querying tools (e.g Hive, Spark SQL, Impala)
• Experience with Power BI
• Experience or willingness to go in real-time stream processing, using solutions such as Kafka, AWS Kinesis, Flume, and/or Spark Streaming
• Experience or willingness to learn about DevOps and DataOps principles (e.g Infrastructure as Code, automating different parts of the data pipeline)
• High-level understanding of Data Science concepts and methodologies (how models are built, trained, and deployed)
• You are passionate about technology and continuous learning comes naturally to you

We will be prioritizing applicants who have a current right to work in Singapore, and do not require sponsorship of a visa.

MORE ABOUT PALO IT:

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:

• Become a climate net-zero company
• Attain 50% of revenue from projects with a positive impact
• Train 100% of our workforce on impact
• Achieve B Corp certification among all our offices across the globe
• Continuously measure & improve employee happiness

Our clients are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges.

What We Offer

• Stimulating working environments
• Unique career path
• International mobility
• Internal R&D projects
• Knowledge sharing
• Personalized training

For more on our team culture and benefits, check out our careers page.

PALO IT Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Palo IT SG does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Palo-IT.

Your personal data will be processed for the purposes of managing Palo-IT’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

Roles & Responsibilities:

Driving 14 Ft truck and delivering of furniture and installing them at customer house.

Following delivery driving routes and time schedules

Loading of furniture from warehouse and unloading the respective furniture for the specific address

Upholstering/Fixing furniture in customers' house

Knowing singapore routes is an added advantage

Physically fit, Positive attitude, strong sense of responsibility and good team player

Able to start work with short notice

At least 2 years experience in this field

6 days work (Mon- Sat)

Heavy lifting is required

All applicants are welcome

License/Certification:

• Class 3 Driving Licence (Required)

Work Location: In person

Summary:

At Energy Supplies & Engineering (S) Pte Ltd, we are leaders in delivering specialized HVAC solutions in Singapore, focusing on dehumidification systems, Dedicated Outdoor Air Systems (DOAS), and other custom-engineered products. Our clients span various industries, including data centers, manufacturing, and commercial facilities, and we are dedicated to providing reliable, high-quality solutions.

As we continue to grow, we are looking for a dedicated Sales & Application Engineer to join our team. In this role, you’ll be pivotal in connecting customers with technical solutions, supporting the sales team, and managing customer relationships to ensure our clients receive top-notch service and solutions.

Key Responsibilities:

Technical Sales Support - Assist the sales team by understanding customer needs, creating proposals, and presenting technical solutions.

Application Engineering - Recommend and design HVAC solutions based on client specifications, ensuring technical feasibility and cost-effectiveness.

Customer Engagement - Build strong relationships with both existing and potential clients, listening to their needs and maintaining high levels of customer satisfaction.

Project Coordination - Work with internal teams and suppliers to ensure projects are executed smoothly and solutions meet customer expectations.

Documentation & Reporting: Keep accurate records, including proposals, technical specifications, project timelines, and sales reports.

Market Insights: Stay informed on industry trends and competitor products to offer innovative solutions that keep us competitive.

Participate in post-project reviews to evaluate project performance, gather feedback, and identify opportunities for process improvement and innovation.

Conduct training sessions for internal teams, contractors, and clients on product application, installation best practices, and maintenance procedures to enhance project outcomes and client satisfaction.

Any other ad hoc tasks assigned by supervisor.

Qualifications:

Diploma in Mechanical or Electrical Engineering and above

Minimum of 1-2 years in sales or application engineering within the HVAC industry (fresh graduates with relevant internships are also welcome to apply)

Relevant certifications in HVAC, refrigeration, and electrical systems are a plus.

Able to work independently, proactive, and focused on meeting and exceeding sales targets.

Clear verbal and written communication skills, with the ability to explain technical details to customers.

Additional Requirements:

Ability to work flexible hours and respond to emergencies as needed.

Physical capability to perform inspections and repairs in various environments.

Ability to multitask and prioritize tasks effectively.

Attention to detail and problem-solving skills.​​​​​​​​​​​​​​

Benefits:

Competitive salary with performance-based bonuses

Opportunities for professional growth and training

Collaborative and supportive work culture

Health and wellness benefits

Working Conditions:

Immediate Full-time position, typically Monday to Friday, with standard office hours

How to Apply:

If you’re passion for HVAC and a customer-focused approach, we’d love to hear from you!

Please apply via [email protected] with your updated resume and a cover letter detailing your interest and relevant experience.

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.

Working Location: Island-wide
Contract Duration: Up to 12 Months Contract
Working Hours: Monday – Thursday: 8.30am – 6pm, Friday: 8.30am – 5.30pm
Basic Salary: Up to $2,980 per month

Background:

This is a generic job posting for Entry Level applicants who are interested in a role within the Social Service sector. More details will be furnished during the screening process.

Responsibilities:

Your job duties may involve:

• Processing of Applications: Assist in processing online applications received in the system. Assess applicant’s eligibility for student care fee assistance.
• Data Analysis and Reporting: Collecting, analysing, and presenting data from research activitiesto support decision-making and identify areas for improvement.
• Customer Service: Assist members of the public in promoting the use of digital/online services to apply for financial assistance.
• Out-of-home Care Administration: Assist in conducting on-site audits and placement options for children requiring foster care.
• Other ad-hoc duties as assigned.

Job Requirements:

· Diploma or Bachelor’s Degree in Psychology / Social Work / Early Childhood Education / Marketing or other relevant disciplines.

· Immediate Starters are preferred (Not serving any notice period)

· Entry Level applicants with interest in the Social Service sector are welcomed to apply.

Interested candidates, please forward a copy of your resume to: [email protected].

We regret to inform that only shortlisted candidates will be notified.

Justin Lee

Registration No: R22107715
APBA TG Human Resource Pte Ltd
EA License: 14C7275

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.

Benefits:

• Basic Salary up to $3,300 with yearly increment based on performance.
• Monday to Friday (9am – 6pm), 2 x Saturday per month depending on roster basis (9am – 3pm)
• Annual leave up to 14 days for first year (pro-rated for incomplete year of service).
• Add 1 day per year till maximum of 18 days.
• Duty Allowance Amount - $250 for working on Saturday and $300 for PH on weekdays.
• Medical Benefits: Max $50 per visit under panel clinics (no cap for the year). Specialist treatment of up to $300 per year with referral letter.
• Dental Benefit Up to $250 per year

Job Description:

This is a full time role for a Customer Service Assistant located in North Bridge Road.Our client is the leading manufacturer and distributor of components for Factory Automation, Press Die and Plastic Mold, Electrical & Wiring Parts, Tools and MRO items.

You will be responsible for handling and processing a large volume of quotations and sales orders, ensuring they are completed within the target time. This includes verifying and correcting any part number errors in the orders. You will also manage customer inquiries, responding promptly and professionally via phone, email, and web chat.

In addition to processing claims related to shipment delays, defective items, or incorrect pricing, you will work closely with internal and external stakeholders to resolve any issues with customer orders, such as requesting lead time changes from suppliers.

Qualifications:

• Minimum o level
• Minimum 1 years relevant working experience
• Able work in a high volume and fast-paced environment

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.

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

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.

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.

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

• 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.”

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.

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.