Total 5,002 Full-time data entry clerk job vacancies in Singapore

What You’ll Be Doing:

• Design, develop and deploy AI/ML/Gen AI solutions in areas including the consumer utilities app, electric vehicle charging, grid planning and monitoring, asset optimization, billing operations, work site safety and customer experience.
• Engage business stakeholders to understand user requirements, leverage domain knowledge, drive project targets and deliver business value.
• Work closely with data engineers, business analysts, product owners, UX designers, AI engineers and software engineers to adopt iterative, agile AI delivery framework.
• Establish and implement AI governance practices, including model documentation, validation, explainability, security guardrails, performance monitoring and ethical considerations.
• Monitor and evaluate emerging AI tools, frameworks, and vendor solutions for internal adoption.

What You’ll Need:
We are looking for Passion and Proficiency

• Experience in building and deploying ML models, including LLMs, RAG, and AI agents
• Strong skills in Python, data pipelines, model integration, deployment, and monitoring
• Proficient in data wrangling, feature engineering, and deriving insights from large datasets
• Knowledge of model explainability, bias mitigation and responsible AI practices
• Ability to translate business needs into AI solutions and deliver in agile, cross-functional teams
• Bachelor of Computer Science/Engineering, Data Analytics & AI or other related area

What Make You Stand Out:

• Ability to actively engage stakeholders, navigate dynamic complexities, lead end-to-end project delivery and manage work of team members.
• Experience deploying Gen AI models to production, including containerization (Docker), APIs, and cloud platforms (AWS, Azure, or GCP).
• Familiarity with governance frameworks like Singapore’s Model AI Governance Framework, EU AI Act, or NIST AI Risk Framework.
• Knowledge in energy tech or related domain.

If the above role is a good fit for you, or if you know anyone who might be good for the role, please get in touch with an updated CV and I'll be in touch!

EA Reg Number: R1660446

EA License Number: 07C3924 

Company Registration No: 200609504D

Responsibilities

• Support the deployment and implementation of AI infrastructure and data centre projects.
• Coordinate project activities with customers, distributors, vendors, technology partners, and internal engineering teams.
• Assist in the design and implementation of AI computing solutions, including GPU servers, storage systems, networking equipment, and cooling infrastructure.
• Participate in customer meetings, technical discussions, and project planning activities.
• Prepare technical proposals, system architecture designs, deployment plans, and project documentation.
• Manage project schedules, milestones, deliverables, and progress reporting to ensure timely project execution.
• Coordinate and oversee Factory Acceptance Testing (FAT) and Site Acceptance Testing (SAT).
• Support installation, commissioning, troubleshooting, and maintenance of AI infrastructure solutions.
• Collaborate closely with global technology partners and OEMs to ensure successful project delivery and system integration.
• Ensure compliance with customer requirements, industry standards, and project specifications.
• Provide post-deployment technical support, issue resolution, and project follow-up to maintain customer satisfaction.

Requirement

• Min Diploma in Electrical Engineering, Mechanical Engineering, Computer Engineering, Information Technology, or related disciplines.
• Min 2 years of experience in project engineering, systems integration, data centres, IT infrastructure.
• Knowledge of servers, networking, storage systems, power distribution, cooling systems, or data centre infrastructure.
• Familiarity with AI computing platforms, GPU technologies, and high-performance computing environments will be an advantage.
• Require to travel locally and overseas when required.

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

Job Description

We are seeking a Data and Artificial Intelligence Scientist to design, develop, and deploy scalable data and AI solutions that address real-world business and industry challenges. The successful candidate will work closely with product owners, software engineers, and industry stakeholders to build AI-driven applications, evaluate emerging technologies, and deliver production-ready solutions.

Key Responsibilities

• Design, develop, and deploy AI and machine learning solutions for business and industry applications.
• Collaborate with cross-functional teams throughout the product development lifecycle, including requirements gathering, solution design, prototyping, testing, deployment, and maintenance.
• Conduct technical assessments of emerging AI technologies, tools, and research to determine their suitability for practical implementation.
• Develop and maintain cloud-native applications and microservices-based solutions.
• Build, evaluate, and optimize machine learning and deep learning models for production environments.
• Design and implement Retrieval-Augmented Generation (RAG) systems, AI agents, and vector/graph database solutions.
• Develop software components following secure software development practices and agile methodologies.
• Ensure AI solutions meet functional and non-functional requirements, including scalability, security, transparency, maintainability, and cost efficiency.
• Prepare technical documentation and contribute to knowledge sharing within project teams.

Requirements

• Degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence, Mathematics, Statistics, Engineering, or a related discipline.
• Strong knowledge of machine learning, deep learning, and artificial intelligence concepts.
• Experience developing and deploying AI applications in production environments.
• Proficiency in Python and/or C++ programming.
• Experience with data analysis, data visualization, and machine learning libraries.
• Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch.
• Experience with Large Language Models (LLMs), prompt engineering, and AI application development.
• Experience developing AI agents, Retrieval-Augmented Generation (RAG) solutions, and working with vector or graph databases.
• Knowledge of software engineering principles, APIs, and microservices architecture.
• Understanding of cloud platforms and modern software deployment practices.
• Experience with 3D geometry, vector mathematics, coordinate systems, and computational geometry will be an advantage.
• Familiarity with 3D modelling/CAD tools or related libraries such as Blender, OpenGL, CGAL, or Three.js will be an advantage.
• Good communication and interpersonal skills, with the ability to work effectively in multidisciplinary teams.

Experience Required

• Seniority and remuneration will be commensurate with qualifications and relevant experience.
• Candidates with 3 years or more of relevant experience in AI, machine learning, data science, or software engineering are encouraged to apply.

Job Description

• Industry/ Organization Type: Building & Construction
• Position Title: Data Center Operations Technician
• Working Location: Kallang
• Working Hours: 5 days (Shift rotation)
• Salary Package: Basic Salary + Meal Allowance + Transport Allowance + PB
• Duration: Permanent Role

Key Responsibilities

• Perform physical tasks such as racking, stacking, cabling, and hardware replacement.
• Monitor and manage environmental controls, including temperature, humidity, and airflow, to support smooth data center operations.
• Carry out regular equipment inspections and preventive maintenance.
• Respond to and resolve support tickets related to hardware and network issues promptly.
• Manage asset inventory and maintain accurate records of infrastructure, cabling layout, and equipment tracking.
• Work closely with network and systems teams to support infrastructure upgrades, migrations, and incident resolution.
• Follow security protocols, safety standards, and company policies.
• Participate in 24/7 shift rotation and on-call support when required.
• Coordinate with vendors and service providers for hardware support and facility-related work.
• Any ad hoc duties assigned.

APPLY NOW!!!

• Minimum 1 year of experience in data center operations.
• Degree in a computer-related field.
• Strong communication skills, responsible, able to work under pressure, and a good team player.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #10012 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Kick-start your career in a people-focused role that offers real exposure beyond the office environment

Role Summary

We are seeking an experienced and detail-oriented SAP Data Migration Specialist with strong ABAP programming expertise to join our team. This role is pivotal in ensuring a seamless transition of critical business data from our legacy SAP environment to our new ERP system. The ideal candidate will be responsible for the end-to-end data migration lifecycle, focusing on high-quality extraction, transformation, and validation processes.

Key Responsibilities

• Data Migration Strategy: Participate in full-cycle data migration activities, from initial analysis and extraction to final cutover, ensuring minimal downtime and business continuity.
• ABAP Development: Design, develop, and optimize robust SAP ABAP programs specifically tailored for complex data extraction and translation requirements.
• Collaborative Data Governance: Partner closely with functional teams to define and refine data mapping, cleansing, and validation rules. Actively contribute to improving overall data accuracy, integrity, and consistency across systems.
• Testing and Reconciliation: Lead the execution of comprehensive test runs and data reconciliations. Validate data integrity throughout every stage of the migration to ensure 100% accuracy post-transfer.
• Support and Troubleshooting: Provide dedicated post-migration support, proactively identifying and resolving any data-related issues or discrepancies that arise during or After the transition.

Required Technical Skills and Experience

Skill Category

• ABAP Development,
• Data Migration,
• Analytical Ability,
• ERP-Knowledge

Requirements

• Strong proficiency in ABAP, including Report programming, Function Modules, and Data Dictionary objects.
• Proven track record in end-to-end SAP data migration projects.
• Strong experience in data mapping, complex data cleansing, and performing data reconciliation.
• Deep understanding of SAP table structures and experience translating data for integration into new ERP environments.

Professional Competencies

• Strong communication skills to effectively collaborate with cross-functional teams.
• High attention to detail, especially regarding data accuracy and reconciliation.
• Ability to troubleshoot complex technical issues under tight deadlines.
•  Proactive approach to problem-solving and process improvement.  

About the Role

We are looking for a technically strong and analytically driven Data Engineer / Analyst to design, build, and maintain end-to-end data and AI/ML solutions.

You will work across the full data lifecycle — from developing ETL pipelines and managing cloud platforms to deploying machine learning models and collaborating with stakeholders to drive meaningful outcomes.

What You Will Do

Data Engineering & AI/ML Development

• Design, build, deploy, and maintain end-to-end data and AI/ML projects across big data and cloud platforms
• Develop scalable and reliable ETL processes for ingesting and integrating large volumes of structured and unstructured data from on-premise and cloud sources
• Build and manage enterprise data systems including data lakes, analytics platforms, and AI platforms

Project & Product Management

• Perform project management and product owner activities for the development, testing, and maintenance of enterprise data systems
• Apply Agile methodology across the full development lifecycle — from requirements gathering and sprint planning through to testing and deployment
• Manage timelines, deliverables, and stakeholder expectations across concurrent workstreams

Stakeholder Collaboration & Innovation

• Collaborate with business users, project teams, government agencies, and industry partners to explore and evaluate new AI/ML and data technologies
• Identify and develop deployable solutions that address operational needs and advance strategic goals
• Stay current with emerging data, AI, and cloud technologies — particularly Generative AI and LLM applications

What We Are Looking For

• Degree in Computer Science, Data Science, Statistics, Economics, or a related discipline with strong quantitative content
• Hands-on experience in data analytics, data engineering, or AI/ML project development

• Proficiency in programming languages such as Python, R, Java, Scala, or SAS for data science and data processing applications
• Strong knowledge of cloud platforms (e.g. AWS, Azure, GCP) and big data technologies
• Demonstrable experience with data/ML techniques — data mining, data engineering, machine learning, natural language processing, or similar
• Experience with Generative AI technologies and LLM models is a strong advantage
• Singaporeans Only

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

• Contact you about potential opportunities.
• Delete personal data as it is not required at this application stage.

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Ho Kah Yeow | R1879233

ScienTec Consulting Pte Ltd |11C5781

Our client is a prominent data center and ICT services provider based in Singapore. It specializes in offering secure, scalable, and high-performance infrastructure solutions to enterprises, financial institutions, and government agencies.

Job Scope:

• Supervises and mentors junior staff on the required daily maintenance and operations of the data centre facilities to ensure serviceability of all active and redundancy equipment.
• Responsible for maintaining and operating critical infrastructure systems such as power, cooling, and fire protection to ensure continuous uptime.
• Oversee preventive and corrective maintenance, lead infrastructure upgrade projects, and coordinate with contractors and vendors.
• Managing risk, responding to incidents, and ensuring compliance with industry standards and regulatory requirements.
• Focus on improving energy efficiency and sustainability within the data center.

Requirements:

• Degree or Diploma in Electrical/Mechanical Engineering or equivalent
• Min 2-3 years of relevant experience in Date Centre or M&E experience in building/construction industry
• Strong technical and functional skills and knowledge of facilities management and operations.
• Able to commit to 12 hours rotating shift duty

Working Location: Bedok/Woodlands

Salary: Up to $5,500 + AWS + Variable bonus

To apply, kindly click APPLY NOW to submit your latest CV.

We regret that only shortlisted candidates will be notified.

A great team can make all the difference in your career journey.
Join a supportive environment where you can gain hands-on marketing experience while developing valuable professional skills.

What You’ll Do

Here’s a shorter, more attention-grabbing version:

⸻

We are expanding our charity outreach team and are looking for individuals who are passionate about making a difference through ethical fundraising and public engagement.

What You’ll Do

1. Engage members of the public to raise awareness for charity initiatives
2. Support fundraising and outreach campaigns
3. Represent non-profit partners professionally
4. Participate in community events and campaigns

What You’ll Get

1. Earning potential: $3,000–$6,000/month
2. Full training and mentorship provided
3. Performance-based incentives
4. Career progression opportunities
5. Purpose-driven and supportive team culture

Who We’re Looking For

Entry-level candidates welcome
Comfortable with face-to-face engagement
Motivated, responsible, and impact-driven

We are looking for a motivated personnel to join our team! If you are someone who enjoys working in a dynamic, team-oriented environment, this could be the perfect opportunity for you!

Responsibilities:

• Identify and engage with potential clients
• Promote products/services through various marketing strategies
• Maintain strong relationships with existing clients
• Lead a team executing marketing campaigns

Requirements:

• Excellent communication skills
• Proactive attitude with a desire to learn and grow in the field
• Ability to work both independently and as part of a team
• Willing to learn and a result-driven mindset

Benefits:

• Opportunities for career growth and advancement
• Ongoing training and professional development
• Travel opportunities
• Supportive team environment

Entry-Level Events and Sales (Training Provided | Travel Opportunities)

We are selectively hiring individuals who are organised, proactive, and eager to build a career in events and brand campaigns. This entry-level role offers hands-on exposure to live events, structured training, and clear growth opportunities.

What You’ll Do

* Assist in planning and assisting on-site events and activations
* Support campaign execution to increase awareness and revenue
* Work closely with team leaders to ensure smooth event flow
* Communicate with customers and represent brands professionally

What We Offer

* Structured training and on-the-job learning
* Personalised mentorship from experienced leaders
* Exposure to a variety of events and campaigns
* Travel opportunities and performance-based, uncapped earnings
* Clear career progression for committed performers

Who We’re Looking For

* Entry-level candidates with good organisational and communication skills
* Willingness to learn and take responsibility
* Reliable, detail-oriented, and team-focused individuals
* No prior experience required — training will be provided

JOB DESCRIPTION

Build your career with Jabil! We challenge and empower you to make most of your talents, working with outstanding colleagues from diverse backgrounds who share your drive and passion to make Jabil grow!

JOB SUMMARY

A data scientist is a statistical analyst who have working experience in the field of data science. Work with other data scientists, ML Ops team, R&D team, Business users’ team etc. in collecting, analyzing, interpret data sets and build AI/ML models to drive optimization and improvement of product development. As part of the company's AI/ML team member, data scientist is required to provide help in developing custom data models and algorithms to apply to data sets. Data scientist must also coordinate with different functional teams to implement AI/ML and monitor outcomes.

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Lead/work with team members to lead AI/ML cases with proper planning and execution to deliver the cases and drive the efficiency for the Manufacturing.

• Conducts data analysis, or Works with related team to design or build dashboards using generative AI tools

• Works with engineering and data science teams to support model training, fine tuning, and deployment workflows, ensuring that machine learning and generative AI systems are properly integrated, monitored, and optimized based on business requirements.

• Identifies and analyzes patterns with machine learning models or Generative AI models etc. during AI/ML model training, and utilize those for inferencing.

• Educates the organization both from IT and the business perspectives people on new approaches, such as Generative AI, machine learning, AI computer Vision etc.

JOB QUALIFICATIONS & KNOWLEDGE REQUIREMENTS

• Proficient in Python/R, Cloud techniques development experience is plus

• Strong statistics knowledge

• Familiar with regression models (i.e., xgboosting, lightGBM etc.), classification models (i.e., logistic regression, SVM, etc.), cluster models are preferred

• Familiar with Natural Language Processing (NLP) or Generative AI models

• Good data sensitivity skill set is plus

• Strong written and verbal communication skills and the ability to work effectively in teams and under pressure. Multi-lingual capability is a plus

• Highly motivated and creative, thinking “out of the box”

• Strong team mentality, interpersonal and communications skills

• Enthusiasm and ability to seek out and learn new technologies and algorithms outside of your immediate toolset/knowledge to solve business problems where required

EDUCATIONAL BACKGROUND & EXPERIENCE

• People who are taking his/her Bachelor or above degree in Computer Science, Machine Learning, Mathematics or Statistics

• 6 years or above experience of data mining/machine learning experience is preferred

• 3 years or above experience of Generative AI experience is preferred

• 1 years or above experience of AI computer vision experience is plus

Key Responsibilities:

- Engage with consumers to promote the brand.

- Educate potential customers about the brand’s products/services

- Maintain a positive and professional brand image at all times.

Requirements & Skills:

- Outgoing, friendly, and confident

- Strong verbal communication and active listening skills.

- Comfortable working in different environments/people

Compensation & Benefits:

- Competitive weekly pay

- Flexible work schedules.

- Opportunity for growth within the company.