Required Qualifications

• Passionate about the cause of education
• Dedicated and patient
• Team spirit
• Bachelor's Degree in the related subject

Job Timings (Non-negotiable)

• 44 Hours Per Week
• Monday - Thursday: 11:30 am - 07:30 pm
• Saturday and Sunday: 09:30 am - 06:30 pm
• Lunch Break: 01:30 pm - 02:30 pm

Overtime

Employees who work more than the stipulated working hours on any day will be paid for any additional hour worked at 1.5 times their hourly basic rate of pay.

Public Holidays

• The Centre will remain closed on all public holidays EXCEPT Labour Day and Vesak Day. The board examinations are held in May/June and we are duty bound to our students to remain open on these two public holidays to assist them in their final examination preparation.
• Employees who work on Public Holidays (9:30AM - 6:30PM) will receive twice their basic rate of pay for work on that day.

Leave Policy

• Annual leave : 18 days
• Birthday Leave: 1 day
• Family Care Leave : 2 days (the above unused leave will be encashed at the end of the year)
• Medical leave: 14 days
• Hospitalisation Leave : 60 days (includes 14 days of medical leave) Unused leaves will lapsed at the end of the year
• Maternity leave :16 weeks (For Singapore Citizens) 8 weeks (For others)
• Paternity leave :2 weeks (If employee has worked for 3 continuous months and child is a Singapore Citizen) For Others, as per mutual agreement between employee and employer.
• Childcare Leave :6 days (if child is less than 7 years, and a Singapore Citizen) 2 days (if child is less than 7 years, for others, as per Employment Act)
• Compassionate Leave: 3 days (can be availed only once in a year)

Insurance

• General Physician (GP) : No Co-Pay (Panel Clinic)
• Specialist (SPL) : $2000 per calendar year (No Panel)
• Hospitalisation (Hosp) : $60000 Annual (Govt Restr, 4 bedded Ward)
• Dental Plan (DP) : $1000 per calendar year, 10% Co-Pay (No Panel)

Resignation Procedure

• Employees are free to resign with just a 1-day notice period. We understand that new opportunities can arise, and we don’t want a lengthy notice period to stand in your way. Our priority is to support your success, whether that’s with us or in your next role.

Walk-in interview

Monday Tuesday, Wednesday, Thursday, Saturday and Sunday at 2:30PM at MathVision Campus, Tekka Place, Annex Block, #01-51 to #01-54 and #01-55 to #01-59, 2 Serangoon Road, Singapore

Please whatsapp your resume or education qualifications at +65 8868 3475

Required Qualifications

• Passionate about the cause of education
• Dedicated and patient
• Team spirit
• Bachelor's Degree in the related subject

Job Timings (Non-negotiable)

• 44 Hours Per Week
• Monday - Thursday: 11:30 am - 07:30 pm
• Saturday and Sunday: 09:30 am - 06:30 pm
• Lunch Break: 01:30 pm - 02:30 pm

Overtime

Employees who work more than the stipulated working hours on any day will be paid for any additional hour worked at 1.5 times their hourly basic rate of pay.

Public Holidays

• The Centre will remain closed on all public holidays EXCEPT Labour Day and Vesak Day. The board examinations are held in May/June and we are duty bound to our students to remain open on these two public holidays to assist them in their final examination preparation.
• Employees who work on Public Holidays (9:30AM - 6:30PM) will receive twice their basic rate of pay for work on that day.

Leave Policy

• Annual leave : 18 days
• Birthday Leave: 1 day
• Family Care Leave : 2 days (the above unused leave will be encashed at the end of the year)
• Medical leave: 14 days
• Hospitalisation Leave : 60 days (includes 14 days of medical leave) Unused leaves will lapsed at the end of the year
• Maternity leave :16 weeks (For Singapore Citizens) 8 weeks (For others)
• Paternity leave :2 weeks (If employee has worked for 3 continuous months and child is a Singapore Citizen) For Others, as per mutual agreement between employee and employer.
• Childcare Leave :6 days (if child is less than 7 years, and a Singapore Citizen) 2 days (if child is less than 7 years, for others, as per Employment Act)
• Compassionate Leave: 3 days (can be availed only once in a year)

Insurance

• General Physician (GP) : No Co-Pay (Panel Clinic)
• Specialist (SPL) : $2000 per calendar year (No Panel)
• Hospitalisation (Hosp) : $60000 Annual (Govt Restr, 4 bedded Ward)
• Dental Plan (DP) : $1000 per calendar year, 10% Co-Pay (No Panel)

Resignation Procedure

• Employees are free to resign with just a 1-day notice period. We understand that new opportunities can arise, and we don’t want a lengthy notice period to stand in your way. Our priority is to support your success, whether that’s with us or in your next role.

Walk-in interview

Monday Tuesday, Wednesday, Thursday, Saturday and Sunday at 2:30PM at MathVision Campus, Tekka Place, Annex Block, #01-51 to #01-54 and #01-55 to #01-59, 2 Serangoon Road, Singapore

Please whatsapp your resume or education qualifications at +65 8868 3475

We are looking for a passionate and professional Senior Executive Officer to join our Corporate Strategy team.

Based in Singapore and reporting to the Senior Manager, the incumbent will support and guide the team in problem and opportunity formulation, data wrangling, possible model approaches, modes of validation and engaging the various stakeholders.

However, we also recognize that each individual has a unique blend of skills. Whether your strength is in data analytics or in analytics development, we want to talk to you.

What You’ll Do

• You will engage various divisions to identify the key business requirements for which complex models need to be built.
• You will lead and guide the team in problem and opportunity formulation, data wrangling, possible model approaches, modes of validation and engaging the various stakeholders.
• You will assist the strategy team in developing the various strategic plans for the company, and implement them where it makes sense.
• You will design and put into production the models developed.
• You will do detailed modeling on the various games and bet types to optimize their performance and enable closing the gap with illegal operators.
• You will support the dissemination of analytics knowledge and sharing of experience within the team and the business users.
• You will identify, undertake and implement analytics projects, including formulation of use cases, gathering of data, development, implementation and maintenance of models.
• You will support the development of SPPL’s in house analytic capabilities through the implementation of structured methodologies and creation of infrastructural capabilities to process and analyze data.
• You will work with strategy to identify opportunities to enable the implementation and realization of the long-term strategic vision of the company.

Who You Are

• You will need at least a postgraduate degree, preferably in data science, statistics, applied mathematics, computer science, machine learning or other data centric disciplines.
• You should have experience with statistical and analytical modeling and knowledge of analytic tools.
• You should be able to work with tools to clean, transform, manipulate, model and visualize large amounts of data.
• Strong programming experience with Python.
  • Familiarity with Python packages commonly used in a Data Science context, e.g., pandas, matplotlib, scikit-learn, PyTorch etc.
  • Proficient in various statistical methods and machine learning techniques, e.g., hypothesis testing, data cleaning, bootstrapping, random forests, clustering, deep learning, etc.
  • Strong visualization and communication skills to interpret and present technical results to technical and non-technical audiences alike.
• Good to have skills:
  • Knowledge of deploying machine learning models on-prem and on AWS or other cloud providers.
  • Experience working with Docker and tools such as docker-compose, Portainer, etc.
  • Knowledge of SQL, PySpark, a deep learning framework (e.g. PyTorch) and/or Django.
  • Basic Unix knowledge.

Benefits

• Competitive salaries
• Flexi Benefits
• Staggered working hours
• Medical Insurance
• Corporate Mobile Plans

Singapore Pools welcomes you not for how you look, where you come from, or differences you may have. We want you here for who you are. Diversity at the company helps us see a greater picture represented by different voices, helping us in contributing back to the society. So, feel free to express who you are, and be proud of your heritage and personal experience as you begin your journey with us!

Singapore Pools was established by the Government on 23 May 1968 to provide safe and trusted betting to counter illegal gambling. As a not-for-profit organisation, all of Singapore Pools’ surplus is channeled to Tote Board to fund a wide range of causes in social service, community development, sports, the arts, education and health. Currently, Singapore Pools contributes about $2 billion annually to the Government in the form of taxes and duties, and for the funding of good causes.

Our client is a Singapore based Scientific and Medical devices provider with presence in Southeast Asia region. Due to their current expansion plan, they are looking for a Technical Service Engineer to join their Engineering Team, in hopes of developing the current high performing team. They are located in the South area – easily accessible.

Duties of Technical Service Engineer:

• Provide after-sales technical support for equipment installation and maintenance.
• Offer technical guidance and consultation to customers.
• Address and troubleshoot customer issues, ensuring timely solutions.
• Document service activities and prepare detailed reports.

Requirements:

• Minimum NiTEC in ELectrical or Mechanical Engineering
• 2 - 3 years experience in servicing Life Science Medical Devices
• Possess own transport

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified

• Email Address: [email protected]
• EA License No: 19C9682
• EA Personnel No: R2199158
• EA Personnel Name: Soo Wei De

Our client is a Singapore based Scientific and Medical devices provider with presence in Southeast Asia region. Due to their current expansion plan, they are looking for a Technical Service Engineer to join their Engineering Team, in hopes of developing the current high performing team. They are located in the South area – easily accessible.

Duties of Technical Service Engineer:

• Provide after-sales technical support for equipment installation and maintenance.
• Offer technical guidance and consultation to customers.
• Address and troubleshoot customer issues, ensuring timely solutions.
• Document service activities and prepare detailed reports.

Requirements:

• Minimum NiTEC in ELectrical or Mechanical Engineering
• 2 - 3 years experience in servicing Life Science Medical Devices
• Possess own transport

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified

• Email Address: [email protected]
• EA License No: 19C9682
• EA Personnel No: R2199158
• EA Personnel Name: Soo Wei De

Job Description

SIA has multiple positions for junior and senior data scientists to drive our AI, data science and business analytics initiatives.

Key Responsibilities include:

• Member of an in-house AI and data science development team that works on AI (including areas in generative AI, autonomous agent, NLP, computer vision and recommender system), mathematical optimization, game theory, and experimental design.
• Work closely with business stakeholders to create impactful and intelligent features/services in AI, data science and data analytics. Propose and build scalable ML/DL solutions. Deploy them as API microservices for use by software applications and business users for faster and more effective decision making.
• Oversee the technical work of external technology partners and provide them datasets to deliver products/services in AI and data science. Support business users in the assessment/ validation of partner-supplied prediction models and in their deployment to production cloud.
• Work closely with application development teams to operationalize and integrate AI/ML capabilities in API microservices.
• Note: You could be posted to any subsidiary in SIA Group.

Requirements

• BS in Computer Science, Mathematics, Statistics, Physics or related discipline is required. PhD and MS degrees related to machine learning and other AI disciplines are preferred.
• Intermediate programming skills in Python. Conversant with algorithm design/analysis, data structure and SQL. Familiarity with functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java and C# is a plus.
• Exposure in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• Relevant internship or industry experience as a hands-on data scientist/AI engineer in shallow and/or deep learning (you should be very comfortable with most topics covered in the free undergraduate textbook by Gareth James, “An Introduction to Statistical Learning – with Applications in Python”, 2023). Additional exposure in some of the following areas is a plus:

1. Use of recent proprietary/open-source LLMs through prompt engineering (such as OpenAI ChatGPT and Bing Chat). Familiarity with LLM application/data frameworks (such as LlamaIndex and LangChain).
2. Experience of using GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
3. Familiarity with Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.

• Some hands-on experience of AWS, Azure, GCP or other public cloud environment.
• Good interpersonal and communication skills for working with both technical staff and non-technical business users.
• Experience with Agile/Scrum/Kanban methodologies is a plus.

The College of Integrative Studies (CIS) at Singapore Management University (SMU is seeking to make one or two tenure-track appointments (at the Assistant, Associate, or Full Professor levels) in the area of Urban Informatics, broadly construed. We welcome applicants who are domain experts in urban food systems, corporate supply chain analysis, urban energy use and/or decarbonisation.

Senior candidates with a track record of leading international teams in externally-funded research programmes are especially encouraged to apply. Exceptional candidates at the Associate or Full Professor levels will be considered for tenure upon appointment. The CIS delivers the University's Core Curriculum and also offers a suite of programmes including Singapore's first and only individualisable major at the undergraduate level, a Masters in Sustainability, as well as interdisciplinary Master’s and Ph.D. programmes in Asian Urbanisms.

We are interested in candidates who are trained in Data Science/Analytics, Computer Science, Geographical Information Systems, Geomatics (all with an urban application), or in cognate disciplinary or interdisciplinary fields with an urban focus. Candidates who can demonstrate evidence of interdisciplinarity in both teaching and research are particularly encouraged to apply.

Applicants should be able to:

• Design and deliver postgraduate a course on “Computational Urban Analysis” to a diverse, multidisciplinary postgraduate audience
• As necessary, design elective courses that will be delivered as part of the Asian Urbanisms Master’s and PhD programmes
• Attract and supervise postgraduate research students
• Contribute to undergraduate teaching for the SMU Core Curriculum in the Technology and Society course baskets (see https://cis.smu.edu.sg/core-curriculum/overview) by delivering courses that will equip students from diverse backgrounds with a data science software foundation that ranges from introductory skills to more advanced techniques, such as cluster analysis, spatial regression, or machine learning
• Conceptualise and execute high quality research, and develop grant applications, on urban-related issues in Asia, broadly defined
• Participate actively in the research and educational communities at SMU, and contribute to at least one of the university’s three areas of strategic priority: Growth in Asia, Digital Transformation, and Sustainable Living
• Contribute to the dynamic intellectual life of CIS, as well as to interdisciplinary dialogue and exchange with colleagues from other Schools (such Computing and Information Systems, Economics, Law, Business, and the Humanities and Social Sciences)

We invite candidates to submit a cover letter, curriculum vitae, teaching statement, research statement, two samples of written work published in English, and evidence of teaching effectiveness (such as student evaluations). Applicants should also arrange for three academic references to be sent directly to [email protected]. SMU is committed to fostering diversity and cultivating an inclusive work environment. Applications from women and minorities are particularly encouraged.

Qualifications

• Ph.D. in either a computational disciplinary (e.g., Data Science/Analytics, Computer Science, Geographical Information Systems, Geomatics, all with an urban focus) or interdisciplinary (e.g., Urban Science, Urban Studies, Development Studies) field
• A record, or promise, of high-quality research and publication
• A record of excellence in teaching and supervision, ideally at both the undergraduate and postgraduate levels
• A track record of being awarded external research grants is a benefit, but not a prerequisite
• Excellent oral and written communication and presentation skills

Our client is a Singapore based Scientific and Medical devices provider with presence in Southeast Asia region. Due to their current expansion plan, they are looking for a Technical Service Engineer to join their Engineering Team, in hopes of developing the current high performing team. They are located in the South area – easily accessible.

Duties of Technical Service Engineer:

• Provide after-sales technical support for equipment installation and maintenance.
• Offer technical guidance and consultation to customers.
• Address and troubleshoot customer issues, ensuring timely solutions.
• Document service activities and prepare detailed reports.

Requirements:

• Minimum NiTEC in ELectrical or Mechanical Engineering
• 2 - 3 years experience in servicing Life Science Medical Devices
• Possess own transport

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified

• Email Address: [email protected]
• EA License No: 19C9682
• EA Personnel No: R2199158
• EA Personnel Name: Soo Wei De

Our client is a Singapore based Scientific and Medical devices provider with presence in Southeast Asia region. Due to their current expansion plan, they are looking for a Technical Service Engineer to join their Engineering Team, in hopes of developing the current high performing team. They are located in the South area – easily accessible.

Duties of Technical Service Engineer:

• Provide after-sales technical support for equipment installation and maintenance.
• Offer technical guidance and consultation to customers.
• Address and troubleshoot customer issues, ensuring timely solutions.
• Document service activities and prepare detailed reports.

Requirements:

• Minimum NiTEC in ELectrical or Mechanical Engineering
• 2 - 3 years experience in servicing Life Science Medical Devices
• Possess own transport

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified

• Email Address: [email protected]
• EA License No: 19C9682
• EA Personnel No: R2199158
• EA Personnel Name: Soo Wei De

Job Description:

• Understanding of Project Specifications, construction drawings and to ensure that all site activities comply with the regulations and client’s requirements
• Monitor site works to ensure the method statements and work procedure are strictly followed.
• Competent in carrying out supervision of structural works by identifying any non-conformity of contractor’s work site
• Ensure the Builder executes the work in accordance to Consultant’s instructions
• Check drawings for discrepancies and highlight to Consultant, suggesting possible solutions to prevent delays
• Conduct quality inspections and quality control of materials used for the project
• To ensure proper documentation of site inspection records, safety records and approved /as-built drawings
• Maintaining and updating site records on progress of work, housekeeping and preparing reports
• Verify the contractors’ progress payment, claim in terms of work done and materials/equipment delivered and stored on site
• Witness all the inspection, testing and commissioning sessions performed by the contractors to ensure compliance with designs and specifications
• Report to project QP / Project Consultants Team on quality and progress
• Period: 36 months
• Start from: January 2024

Requirement:

• Min Diploma in Civil Engineering or equivalent
• At least 4 years of relevant experience in supervision of residential buildings
• Resident Technical Officer Certificate accredited by IES / ACES
• Knowledge and Experience in institutional
• Conversant in statutory code and requirements
• Good team player with strong interpersonal and communications skills essential

Please indicate project involved, expected salary and notice period required in CV.

We regret that only short-listed candidates will be notified.

Our client is a Singapore based Scientific and Medical devices provider with presence in Southeast Asia region. Due to their current expansion plan, they are looking for a Technical Service Engineer to join their Engineering Team, in hopes of developing the current high performing team. They are located in the South area – easily accessible.

Duties of Technical Service Engineer:

• Provide after-sales technical support for equipment installation and maintenance.
• Offer technical guidance and consultation to customers.
• Address and troubleshoot customer issues, ensuring timely solutions.
• Document service activities and prepare detailed reports.

Requirements:

• Minimum NiTEC in ELectrical or Mechanical Engineering
• 2 - 3 years experience in servicing Life Science Medical Devices
• Possess own transport

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified

• Email Address: [email protected]
• EA License No: 19C9682
• EA Personnel No: R2199158
• EA Personnel Name: Soo Wei De

Our client is a Singapore based Scientific and Medical devices provider with presence in Southeast Asia region. Due to their current expansion plan, they are looking for a Technical Service Engineer to join their Engineering Team, in hopes of developing the current high performing team. They are located in the South area – easily accessible.

Duties of Technical Service Engineer:

• Provide after-sales technical support for equipment installation and maintenance.
• Offer technical guidance and consultation to customers.
• Address and troubleshoot customer issues, ensuring timely solutions.
• Document service activities and prepare detailed reports.

Requirements:

• Minimum NiTEC in ELectrical or Mechanical Engineering
• 2 - 3 years experience in servicing Life Science Medical Devices
• Possess own transport

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified

• Email Address: [email protected]
• EA License No: 19C9682
• EA Personnel No: R2199158
• EA Personnel Name: Soo Wei De

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities, and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

Functional Description

Decision Science colleagues will serve as a key member of the Credit and Fraud Risk organization. We seek a thought-leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing the analyses, models, and algorithms that power our customers’ digital experiences.

This critical team is responsible for managing enterprise risks throughout the customer lifecycle, across our consumer and commercial businesses, and across all our global products. We develop industry-first data capabilities, build profitable decision-making frameworks, create machine learning-powered predictive models, and improve customer servicing strategies.

Our Decision Science teams use industry leading modeling and AI practices to predict customer behavior. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.

Responsibilities:

• Work with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment.
• Planning and delivering of high performing models, meeting agreed deadlines and ensuring accurate, efficient implementation of models in production systems
• Learning industry developments and best practices, conducting research and development to incorporate best in class modelling methodologies and share with the team
• Performing annual reviews, performance monitoring reviews, retrains and remediation activity on models as required
• Build everything from basic reports to advanced machine learning models and algos to drive improvements to our customer’s online and mobile app experiences.
• Work with product owners to revolutionize the product and content design with a data-driven approach
• Collaborate with tech partners to test, implement and deploy modeling solutions to production system.
• Develop insights into customer behavior and introduce new approaches to transform complex behavioral data into actionable information
• Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
• Innovate with a focus on developing newer and better approaches using big data & machine learning solutions
• Lead, engage, and inspire a large team of high performing risk management professionals

Qualifications:

• PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research and etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques. PhD degree with practical experiences NLP is a significant plus.
• Expertise in an analytical language (Python, R or the equivalent), and experience with databases (Hive, SQL, or the equivalent). Knowledge of SAS is a plus but not required.
• Deep understanding of machine learning/statistical algorithms such as deep learning and boosting. Experience with data visualization is a plus
• Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights.
• Ability to work effectively in a team environment
• Independent thinker who’s organized, has great attention to detail, and can multi-task
• Strong communication skills
• Strong people leader and team player with a demonstrated ability to develop team members and create highly effective and results-driven culture
• Strong relationship management and proven track record of positively collaborating and partnering with stakeholders
• Ability to learn quickly and work independently with sophisticated, unstructured initiatives
• Ability to integrate with cross-functional business partners worldwide
• Proficient in presentation tools, including Excel and PowerPoint

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

At American Express, our mission is to elevate the customer experience daily by delivering unparalleled products and services. We are on the lookout for a Manager in the realm of Artificial Intelligence (AI) and Machine Learning (ML), specializing in Natural Language Processing (NLP) and Generative AI. This role is pivotal in advancing our data science capabilities to bolster enterprise-wide initiatives, in collaboration with our Technology, Marketing, Servicing, and Risk departments.

Role Overview:

As a Manager, NLP and Generative AI, you will play a crucial role in the development and implementation of cutting-edge NLP solutions that address significant business challenges. Working closely with cross-functional teams, you will leverage your expertise in NLP to enhance our product offerings and streamline operational processes. Your contributions will directly impact our strategic goals, driving innovation and excellence in customer interactions.

Key Responsibilities:

• Lead the design and development of NLP and Generative AI projects, ensuring alignment with business objectives and scalability across the organization.
• Conduct applied research in NLP to identify and deploy advanced techniques that enhance our data science capabilities, focusing on delivering practical business solutions.
• Foster a culture of innovation by staying abreast of the latest trends in AI and NLP, and actively sharing knowledge and insights to contribute to the collective growth and technical proficiency of the team.
• Manage project timelines, resources, and deliverables using agile methodologies, ensuring efficient progress from conception to deployment.
• Collaborate with the Technology team to integrate NLP solutions into our existing systems and platforms, enhancing functionality and user engagement.

Qualifications:

• Ph.D. degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Mathematics).
• Extensive experience in machine learning, NLP, and Generative AI, with a demonstrated ability to manage projects from inception to completion.
• Proven expertise in applying deep learning and NLP techniques to solve complex problems, with a portfolio of projects that have delivered tangible business outcomes.
• Solid understanding of Large Language Models and practical experience with Generative AI
• Solid understanding of agile project management principles, with experience leading teams and managing projects in a fast-paced environment.
• Excellent communication and leadership skills, with the ability to collaborate effectively with both technical and non-technical teams.
• Strong problem-solving abilities, with a creative and analytical approach to tackling challenges and driving results.

Our client is a Singapore based Scientific and Medical devices provider with presence in Southeast Asia region. Due to their current expansion plan, they are looking for a Technical Service Engineer to join their Engineering Team, in hopes of developing the current high performing team. They are located in the South area – easily accessible.

Duties of Technical Service Engineer:

• Provide after-sales technical support for equipment installation and maintenance.
• Offer technical guidance and consultation to customers.
• Address and troubleshoot customer issues, ensuring timely solutions.
• Document service activities and prepare detailed reports.

Requirements:

• Minimum NiTEC in ELectrical or Mechanical Engineering
• 2 - 3 years experience in servicing Life Science Medical Devices
• Possess own transport

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified

• Email Address: [email protected]
• EA License No: 19C9682
• EA Personnel No: R2199158
• EA Personnel Name: Soo Wei De

System & Network Engineer

Working Location: Yio Chu Kang MRT

Working hours: 8.30am to 6.15pm, 5-days week

Salary Range: $4,500 - $6,000 + AWS + Variable bonus

Responsibilities

• Work closely with other domain specialist to design complex solutions
• Analyze business requirements to develop technical solutions and system design
• Generate solution design, project document and Bill of Material for customer requirement
• Conduct in-house evaluation and Proof of Concept trial with stakeholders
• Liaison with principal vendors to understand their products, solution and pricing
• Assist the project engineers during Technical Project implementation and conduct of training
• Handle system administration, network support, implementation, troubleshooting in Windows / Linux
• Perform network troubleshooting to isolate and diagnose network problems
• Upgrade network hardware and software components as required, while ensuring adherence to Cybersecurity Act, Cybersecurity Code of Practice(CCOP)
• Expected to address any ad hoc activities when needed by the technical team
• Document functional requirements / specifications documents for all the necessary systems pertaining the network designed or implemented and the necessary routing
• Be familiar with latest Networking trends and solutions available in the market
• Undertaking Vendor Certifications as required by company to maintain partnership status

Requirements

• Bachelor Degree or Diploma in computer science or related technical discipline
• At least 3-5 years’ experience in network design and planning
• Very comfortable Familiar with Microsoft Windows and in LINUX operating environment (Ubuntu, Red Hat, etc)
• Min. 3 years experience in complex project implementations;
• Strong understanding of cyber security, cryptography, security protocol, network security, TCP/IP networking.
• Strong understanding of Risk Management, Disaster Recovery, Business
• Continuity and IT Regulatory Compliance
• Experience in architecting or deploying Virtualization solutions for enterprises would be advantageous
• Understanding the on-premise / hybrid and cloud networking model
• Ability to work independently with minimal supervision.
• Hands on experience in installing hardware such as servers, network switch, cables, hubs, routers, and setting up required software environment / applications
• Solid CCTV and Audio / Video knowledge and experience
• Experience with IP communication technology such as IP PBX, video conference and network management system
• Possess certifications like CCNP Routing & Switching, CCNP Wireless, CISSP or equivalent on Networking and Security technologies would be an added advantage.

WhatsApp: https://wa.me/6591044149 (Shermaine)

Siah Sze Ming Reg No: R24125414

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Our client is a Singapore based Scientific and Medical devices provider with presence in Southeast Asia region. Due to their current expansion plan, they are looking for a Technical Service Engineer to join their Engineering Team, in hopes of developing the current high performing team. They are located in the South area – easily accessible.

Duties of Technical Service Engineer:

• Provide after-sales technical support for equipment installation and maintenance.
• Offer technical guidance and consultation to customers.
• Address and troubleshoot customer issues, ensuring timely solutions.
• Document service activities and prepare detailed reports.

Requirements:

• Minimum NiTEC in ELectrical or Mechanical Engineering
• 2 - 3 years experience in servicing Life Science Medical Devices
• Possess own transport

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified

• Email Address: [email protected]
• EA License No: 19C9682
• EA Personnel No: R2199158
• EA Personnel Name: Soo Wei De

Our client is a Singapore based Scientific and Medical devices provider with presence in Southeast Asia region. Due to their current expansion plan, they are looking for a Technical Service Engineer to join their Engineering Team, in hopes of developing the current high performing team. They are located in the South area – easily accessible.

Duties of Technical Service Engineer:

• Provide after-sales technical support for equipment installation and maintenance.
• Offer technical guidance and consultation to customers.
• Address and troubleshoot customer issues, ensuring timely solutions.
• Document service activities and prepare detailed reports.

Requirements:

• Minimum NiTEC in ELectrical or Mechanical Engineering
• 2 - 3 years experience in servicing Life Science Medical Devices
• Possess own transport

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified

• Email Address: [email protected]
• EA License No: 19C9682
• EA Personnel No: R2199158
• EA Personnel Name: Soo Wei De

Our client is a Singapore based Scientific and Medical devices provider with presence in Southeast Asia region. Due to their current expansion plan, they are looking for a Technical Service Engineer to join their Engineering Team, in hopes of developing the current high performing team. They are located in the South area – easily accessible.

Duties of Technical Service Engineer:

• Provide after-sales technical support for equipment installation and maintenance.
• Offer technical guidance and consultation to customers.
• Address and troubleshoot customer issues, ensuring timely solutions.
• Document service activities and prepare detailed reports.

Requirements:

• Minimum NiTEC in ELectrical or Mechanical Engineering
• 2 - 3 years experience in servicing Life Science Medical Devices
• Possess own transport

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified

• Email Address: [email protected]
• EA License No: 19C9682
• EA Personnel No: R2199158
• EA Personnel Name: Soo Wei De

Software Engineer

5 days, 8.30pm- 5.50pm

Salary: $3500 -$4000

Location: Bedok office & client site

Job scope:

• To provide necessary post-project application software support to the client
• Troubleshoot, debug, enhance and optimise programs
• Develop new applications

Requirements:

• Candidate must possess at least a Diploma or Degree in Engineering, Computer Science/Information Technology or equivalent.
• Knowledge in Oracle PL/SQL, Oracle Pro-C programs, Unix ANSI C, visual basic.net using Visual Studio 17, Unix scripting
• At least 1 year relevant experience in end user and operation support

WhatsApp: https://wa.me/6591044149 (Shermaine)

Siah Sze Ming Reg No: R24125414

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Job Vacancy – Technical Sales Specialist

· Polaris Science Pte Ltd is a dynamic distributor of Nano-instrumentation, renewable energy equipment and laboratory equipment.

· We are looking for a Technical Sales Specialist to promote our advanced scientific solutions to research instiutions and industries.

We offer

· A list of high-end products to offer to scientists and engineers in the research arena.

· A competitive compensation package that offers 5-day work, benefits and overseas training.

· An an opportunity to own part of the company.

Looking for colleague who enjoys

· Visiting customers to present our products and solutions, building good relationships and creating great customer experience.

· Responding promptly to sales enquiries, submitting tender document and assisting customers in their applications.

· Achieving challenging sales goals with our Sales Team and Technical Support Team.

You need to have

· Degree in Materials Science & Engineering or relevant disciplines.

· Minimum of 2 years working experience in relevant capacity. Fresh graduates are welcome to apply as on-the-job training will be provided.

· Customer-oriented service attitude and a pleasant & friendly personality.

· Able to work independently & as team, self-discipline, motivation & commitment to serve with good communication & people skills.

· An entrepreneur mindset and willingness to work in a small successful start-up.

Ø For application, please send your resume to below email.

Ø [email protected]

This internship offers hands-on experience working on data science projects for our clients. As an intern, you'll gain valuable skills in understanding client business needs, data preparation, data analysis, and using machine learning models to derive insights. You'll work closely with our clients under the guidance of experienced professionals.

Our Data Science Internship program has the potential to lead to a permanent position at our company. The minimum duration of the internship is six months.

We're looking for final year students currently pursuing degrees in Computer Science/Data Science, Statistical Mathematics, Engineering, Actuarial Science, or related fields with a strong background in data science. Proficiency in SQL and Python programming is required, and familiarity with Hadoop, Sparks, and its libraries is preferred.

Experience with Graph Databases like Neo4j or AWS Neptune is a plus.

We're seeking enthusiastic learners with strong analytical and problem-solving skills, good communication skills, and a customer service attitude. You should enjoy working in a team and be able to commit to a six-month internship.

At BioQuest, we value collaboration, teamwork, and knowledge sharing. Our culture is supportive and inclusive, with a strong emphasis on ethics and diversity. You'll have opportunities to learn about emerging technologies, receive mentorship from experienced consultants, and work in a supportive and collaborative environment. For high performers, there is an excellent career growth path.

Our client is a Singapore based Scientific and Medical devices provider with presence in Southeast Asia region. Due to their current expansion plan, they are looking for a Technical Service Engineer to join their Engineering Team, in hopes of developing the current high performing team. They are located in the South area – easily accessible.

Duties of Technical Service Engineer:

• Provide after-sales technical support for equipment installation and maintenance.
• Offer technical guidance and consultation to customers.
• Address and troubleshoot customer issues, ensuring timely solutions.
• Document service activities and prepare detailed reports.

Requirements:

• Minimum NiTEC in ELectrical or Mechanical Engineering
• 2 - 3 years experience in servicing Life Science Medical Devices
• Possess own transport

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified

• Email Address: [email protected]
• EA License No: 19C9682
• EA Personnel No: R2199158
• EA Personnel Name: Soo Wei De

Our client is a Singapore based Scientific and Medical devices provider with presence in Southeast Asia region. Due to their current expansion plan, they are looking for a Technical Service Engineer to join their Engineering Team, in hopes of developing the current high performing team. They are located in the South area – easily accessible.

Duties of Technical Service Engineer:

• Provide after-sales technical support for equipment installation and maintenance.
• Offer technical guidance and consultation to customers.
• Address and troubleshoot customer issues, ensuring timely solutions.
• Document service activities and prepare detailed reports.

Requirements:

• Minimum NiTEC in ELectrical or Mechanical Engineering
• 2 - 3 years experience in servicing Life Science Medical Devices
• Possess own transport

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified

• Email Address: [email protected]
• EA License No: 19C9682
• EA Personnel No: R2199158
• EA Personnel Name: Soo Wei De

As a member of the respondents, you will be part of the team responsible for operational support of Authority's Data Centres (DCs) and expected to work independently. Your primary responsibility is to ensure system functionality, availability, data security, and compliance with industry standard. This includes:

a. Facilitating, monitoring and resolving any IT Infra (Hardware) service request/fault.

b. Conducting regular audit check to ensure vendor/user comply to Authority's DC policies/processes.

c. Ensuring smooth DC operation such as coordinating with Facility Management (FM) for any M&E matters.

You will be working closely with all levels of IT Infra support team and is expected to operate, excel, maintain and monitor operating systems of the Data Centres (DCs) whenever and whatever support service for the enterprise system. This includes being on 24 x 7 standby for response and scheduled maintenance events.

Job Scope:

Data Centre Operation Management

1. Work with user (with/without vendor support) for any escorting/installation/decommission/replacement of IT Infra equipment hosted inside the Data Centre, ensuring compliance to Authority policies/processes and update relevant inventories accordingly.

2. Carry out periodic checks inside Data Centre, looking out for any:

a. Unreported IT Infra hardware fault

b. Environment issue to be addressed (e.g.: Faulty lighting, item obstructing airflow)

c. Abnormality status of facility system (e.g.: Air-con) and report it to Facility Management (FM)

d. Non-compliance

e. Collect power utilization statistic (if required)

3. Manage, procure and support provision of Data Centre equipment/systems, peripherals, spares, user documentations and technical manuals.

4. Utilise alerting and reporting systems/tools to monitor Data Centre operation and relevant M&E related equipment status (If deemed required by the Authority).

5. Work with Asset Management (AM) to perform asset tagging for IT infra equipment.

Requirements:

- Diploma in Electrical Eng., Computer Eng., Information Technology or equivalent with at least 1 year of experience in system administrator role.

- Basic understanding of Network knowledge and components

- Experience in administrating Linux (Redhat) and Windows Server (2016-2025) OS

- Experience in managing virtualization technologies like VMware server/ESXi

- Relevant DC-related professional certifications, such as EPI Certified Data Centre Professional (CDCP) or Data Centre Certified Associate (DCCA) is a plus.