Total 3,918 job vacancies in Singapore

Fresh without experience-Starting basic is $2600-$3000

Industry: Engineering

Located at Chai Chee

Japanese MNC

Have AWS + Bonus + Yearly increment

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / fresh entry welcome to apply
• Have driving license

Applications:

Please submit a copy of your updated CV in MS Word format stating to emilyfong@atomrecruit.com:

• Current Salary
• Expected Salary
• Date of Available and Reason for Leaving

All applicant will treated private and confidential

Emily Fong

Senior Talent Specialist

Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443

EA Personnel Reg No.: R1768368

We are seeking a highly motivated R&D Engineer to join our Product Research team. This role is responsible for designing and executing experimental studies, developing data processing and algorithmic solutions, and contributing to the development of next-generation medical technologies.

The successful candidate will work at the intersection of physiology, signal processing, and system design, supporting the full life cycle from data acquisition to analytical insight and product integration.

Key Responsibilities

Experimental Design & Validation

·       Design and execute internal clinical and non-clinical studies

·       Develop test protocols, data collection methodologies, and validation frameworks

·       Ensure data quality, reproducibility, and adherence to relevant standards

Data Analysis & Algorithm Development

·       Develop and maintain data processing pipelines using Python

·       Implement signal processing, statistical, and machine learning algorithms

·       Analyze physiological data to extract meaningful features and insights

·       Evaluate performance across varying conditions and edge cases

System Development & Integration

·       Contribute to the design of sensing and data acquisition systems

·       Support integration of hardware, firmware, and software components

·       Develop internal tools to support experimentation and analysis workflows

Research & Investigation

·       Investigate anomalies, signal artifacts, and unexpected results

·       Conduct literature reviews and apply cross-domain knowledge

·       Translate research findings into practical engineering solutions

Education

·       Bachelor’s, Master’s, or PhD inBiomedical Engineering, Electrical Engineering, Computer Science, or a related field

Technical Skills

·       Strong proficiency in Python for data analysis and algorithm development

·       Experience with signal processing and time-series data

·       Familiarity with scientific computing libraries (e.g., NumPy, SciPy, Pandas)

·       Understanding of statistical methods and experimental design

Experience

·       Experience in R&D, product development, or applied research

·       Exposure to biomedical signals (e.g.,PPG, ECG, respiratory signals) is advantageous

·       Familiarity with clinical studies or validation processes is a plus

·       Experience with sensors, embedded systems, or hardware integration is beneficial

·       Core Competencies

·       Strong analytical and problem-solving skills

·       Ability to design structured experiments and interpret results rigorously

·       Systems thinking with attention to detail

·       Intellectual curiosity and a proactive approach to learning

·       Ability to work independently and collaboratively in a multidisciplinary team

What We Offer

·       Opportunity to work on cutting-edge medical technologies

·       Direct impact on product innovation and patient outcomes

·       Collaborative and research-driven work environment

·       Exposure to interdisciplinary challenges across hardware, software, and data science

Job Description

• Industry/ Organization Type: ICT Services Provider (Data Centre)
• Position Title: General Manager
• Working Location: North-East Region
• Working Hours: 5 Days, Monday – Friday (9am – 6pm)
• Salary Package: Basic Salary + AWS + Variable Bonus
• Duration: Permanent

Key Responsibilities

• Oversee daily data centre operations to ensure continuous uptime, reliability, and service availability.
• Develop, implement, and enforce operational policies, procedures, and best practices.
• Lead incident management processes, including troubleshooting, root cause analysis, and corrective actions.
• Manage and monitor critical systems such as UPS, generators, cooling systems, BMS, etc.
• Plan and coordinate preventive maintenance, shutdowns, and infrastructure upgrade activities.
• Manage vendors and contractors, ensuring performance meets agreed service level agreements (SLAs)
• Oversee contract management, including renewals, negotiations, and compliance with procurement policies.
• Evaluate vendor performance regularly and recommend improvements or alternative solutions.
• Maintain strong relationships with external partners to ensure seamless support and service delivery.
• Supervise preventive and corrective maintenance of electrical, mechanical, and IT infrastructure.
• Ensure full compliance with safety, environmental, and regulatory requirements.
• Monitor facility capacity and resource utilization and plan for future expansion needs.
• Drive initiatives to improve energy efficiency and optimize operational costs.
• Lead, mentor, and develop a team of data centre engineers and technicians.
• Plan and manage staffing schedules to ensure smooth 24/7 operational coverage,
• Conduct audits and risk assessments to maintain compliance.
• Act as the main point of contact for stakeholders, providing regular updates, reports, and coordination with internal teams.

APPLY NOW!!!

• Bachelor’s degree in Engineering, Information Technology, or a related discipline.
• At least 8 years of experience in data centre operations, including a minimum of 5 years in a leadership role.
• Strong knowledge of data centre infrastructure management, including electrical, mechanical, and IT systems.
• Experience in data centre design, implementation, and operations management.
• Familiar with servers, racks, cooling systems, power systems, and storage infrastructure.
• Knowledge of industry standards such as ISO 27001 and related compliance requirements.
• Proven leadership and people management skills to effectively lead teams in a high-availability environment.
• Excellent communication and stakeholder management abilities.
• Capable with budgeting, forecasting, and operational planning.
• Ability to develop and implement processes to enhance efficiency, reliability, and performance.

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 #84120 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 | Rachael Lee | EA Reg No.: R2093131

Company Overview

THINKT is a Singapore-registered digital IT services company led by an experienced IT architect. We deliver enterprise-grade digital solutions across industries, combining local leadership with a global engineering team to drive measurable business impact.

Job Summary

A Qlik Talend and Data Quality Engineer designs, develops, and maintains enterprise data pipelines, analytics solutions, and data quality frameworks using Qlik, Talend, and related platforms. This role integrates ETL/Data Integration, BI Analytics, and Data Governance expertise.

Responsibilities

• Design and develop enterprise data pipelines using Qlik and Talend to support analytics and reporting needs
• Maintain and enhance data quality frameworks to ensure accurate and reliable data governance
• Integrate ETL and data integration processes to streamline data flow across systems
• Implement business intelligence analytics solutions to enable data-driven decision-making
• Collaborate with cross-functional teams to align data solutions with business objectives
• Monitor and troubleshoot data pipeline performance to optimize efficiency and reliability

• Well Established Company

• Salary range: $3500 - $4500

• Working hours: 8.30am - 5.30pm Weekdays, 8.30 - 13.30pm on Saturdays when required

• Working location: Ang Mo Kio / Project based

• Excellent Benefits and Bonuses

Job Scope

• Coordinate and manage Mechanical & Electrical (M&E) project works to ensure timely and smooth execution
• Ensure all M&E works are carried out in accordance with approved drawings, technical specifications, and project requirements
• Plan, schedule, and monitor site activities; proactively identify and resolve technical and site issues
• Liaise with clients, consultants, and subcontractors to ensure proper coordination of M&E services
• Prepare and submit progress reports, claims, variation orders, and relevant project documentation; follow up on certifications and payments
• Monitor project progress to ensure works are completed within schedule and budget
• Ensure proper testing, commissioning, and handover of M&E systems in accordance with project specifications
• Ensure compliance with all relevant statutory regulations, codes of practice, and safety requirements
• Promote and enforce Workplace Safety and Health (WSH) standards on site
• Coordinate closely with subcontractors and their safety personnel on all safety-related matters
• Ensure proper documentation and timely handover of completed works to management or client

Requirement

• Diploma in Mechanical or Electrical Engineering, or a related field
• 2–3 years of relevant experience in M&E or construction projects

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

Barry Ang Ze Xin (Reg No : R26159529)

EA Recruitment Pte Ltd

EA License No: 21C0492

We are seeking an experienced Senior Business Analyst to lead and support complex data migration initiatives. The ideal candidate will have a strong background in business analysis, data analysis, stakeholder management, and end-to-end migration projects. Exposure to modern data platforms such as Databricks and AI-assisted analysis tools is advantageous.

Key Responsibilities

• Lead business analysis activities for large-scale data migration and transformation projects
• Collaborate with business stakeholders, data engineers, and architects to define data requirements, mappings, and transformation rules
• Gather, document, and validate functional and data requirements
• Perform data analysis, profiling, and reconciliation to ensure data quality and integrity
• Leverage AI tools (e.g., ChatGPT, Microsoft Copilot) to enhance requirement gathering, documentation, and analysis
• Develop and maintain source-to-target mappings (STTM) for migration
• Support data validation, testing (UAT), and defect resolution
• Facilitate workshops, stakeholder meetings, and requirement walkthroughs
• Translate business needs into clear technical specifications and user stories
• Actively participate in Agile ceremonies
• Work closely with engineering teams using modern data platforms (e.g., Databricks)
• Ensure compliance with data governance, security, and regulatory requirements

Required Skills & Experience

• 8–12+ years of experience as a Business Analyst, with a strong focus on data migration projects
• Proven experience in: Data mapping and transformation, Data quality and reconciliation, ETL processes, and data warehousing concepts
• Strong analytical skills with proficiency in SQL and data analysis tools
• Experience working in Agile / Scrum environments
• Excellent stakeholder management and communication skills
• Ability to bridge the gap between business and technical teams
• Bachelor’s degree in Business, Information Systems, Computer Science, or a related field
• Relevant certifications (CBAP, PMI-PBA, Agile certifications) are a plus
• Strong analytical and problem-solving skills
• Attention to detail, especially in financial and data-intensive environments
• Ability to manage multiple stakeholders and parallel initiatives
• Strong communication, facilitation, and leadership capabilities

Preferred / Advantageous Skills

• Hands-on or working knowledge of Databricks
• Experience with cloud platforms (AWS, Azure, or GCP)
• Domain knowledge in large enterprise systems or financial systems

Role Overview

The Senior Network Engineer is responsible for delivering enterprise and data center network solutions for NTT DATA clients. The role focuses on post-sales project delivery, working closely with project managers, solution architects, and customers to ensure successful implementation of complex network environments.

Key Responsibilities

Responsibilities:

• Deliver technical solutions to clients and take responsibility for the standards of work, project sign off and client satisfaction.
• Provide client support, assisting with troubleshooting and design, configuration and escalated problem management.
• Act as key project team members charged with the analysis of client and technical requirements, specifications development, solution design and development, and in some environments may consult on testing and deployment processes.
• Expected to be technology leads for specific technologies and to use their deep knowledge of these technologies to propose enhancements.

Education:

• Degree in Computer Engineering, Computer Science, Information Technology or related field
• CCIE, CCNP, CCNA F5, or other relevant

Requirements:

• At least 5 – 10 years' professional technical experience related to software development, systems design and deployment, or networking and infrastructure within a large scale (preferably multi- national) technology services environment
• Experience in designing and building complex LAN and large WAN
• Expertise in routing/switching technology, including BGP, OSPF, etc.
• Expertise in designing and building complex data center network with Software Defined Networking (SDN) solutions such as Cisco Catalyst Center, Cisco ACI, EVPN or any OpenFlow protocol.
• Experience in designing and building complex WAN with Software Defined WAN solutions such as Viptela, SilverPeak and Riverbed.
• Experience in designing and building complex campus network with Software Defined Access (SDA) solutions from Cisco or any other SDA vendors.
• Experience in network automation via scripting (e.g. Python, Ruby) or tools (e.g. Ansible, Algosec, Chef)
• Experience in designing and building network security (Checkpoint, Palo Alto, Fortigate, Cisco firewall, IDS/IPS, VPN, SSL, Cisco ISE).
• Experience in designing and building complex LAN and large WAN in F5 Context, LTM and GTM
• Experience in project management methodologies
• Singaporean/PR preferred

Job Description

We are looking for a part-time Project Executive to support and coordinate an AI voice data collection projectfocused on Southeast Asian languages (Bahasa Melayu).

This role is responsible for end-to-end project execution, including team coordination, quality control, and delivery management to meet client requirements.

Key Responsibilities

· Manage daily operations of AI voice data collection projects

· Coordinate and supervise team leads and part-time contributors

· Ensure all collected data meets quality standards and project specifications

· Monitor project progress and ensure timely delivery of milestones

· Provide training and guidance to team members on recording standards and QC requirements

· Act as the main point of contact between internal teams and external stakeholders

· Track performance metrics and continuously improve operational efficiency

Requirements

· Bachelor’s degree in any discipline

· Prior experience in operations, project management, or data collection projects preferred

· Ability to manage large teams and coordinate multiple stakeholders

· Strong organizational and communication skills

· Ability to communicate in Mandarin is an advantage, as the role may involve

supporting communication with Mandarin-speaking stakeholders who are not

proficient in English.

· Familiarity with Bahasa Melayu is an advantage, as the project involves voice data collection in this language and requires communication with project staff.

· Detail-oriented with strong problem-solving skills

Employment Details

· Monthly salary: SGD 12–18 per hour (Part-time)

How to Apply

If you are interested in this position, please send your resume to
�� keddy@goglobalhr.com
Only shortlisted candidates will be notified.

Key Responsibilities
- Survey Operations:
- Support Project Managers/Directors in achieving survey objectives
- Provide one-stop service to respondents for timely and accurate data collection
- Develop expertise in survey content, objectives, and deliverables
- Data Collection:
- Conduct outbound calls, email correspondence, and personal visits to respondents
- Accurately compile, record, and input survey data into the system
- Data Analytics:
- Leverage data analytics tools to validate and verify survey data quality
- Explore alternative data sources and apply imputation methods for incomplete data
- Data Analysis & Reporting:
- Analyze collected data and produce actionable reports with data visualization
- Present findings effectively to stakeholders
- Dissemination Strategy:
- Develop and execute strategies to raise awareness of statistical products
- Ensure products meet diverse needs of various societal segments

Requirements
- Proven experience in survey operations, data analytics, or a related field
- Strong understanding of survey content, objectives, and deliverables
- Excellent communication and interpersonal skills
- Ability to work independently and manage multiple priorities
- Strong analytical and problem-solving skills

Interested candidates, please click on the following link to begin your job search journey and submit your curriculum vitae (CV) directly through the official PERSOL job application platform - GO.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set outin the Privacy Policy available at https://www.persolsingapore.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOL Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg No: R1770602 (Teng Min Yee)

Summary

We are seeking an AI/ML Researcher to lead the research and development of large language models (LLMs) solutions. The ideal candidate will have a minimum of 2 years of experience in NLP research and a deep understanding of core LLM components, including LLM modeling, information retrieval, entity-relation extraction, agentic frameworks, and reasoning. The role involves leveraging AI/ML algorithm framework, such as TensorFlow and PyTorch, to develop cutting-edge generative LLM solutions. Responsibilities include designing and conducting scientific experiments, utilizing NLP techniques and LLM core components to develop novel LLM solutions in cloud or on-premises environments. The candidate will also be expected to collaborate with the team, participate in code reviews, architecture discussions, and create comprehensive documentation. The ideal candidate should possess a strong foundation in statistical analysis, machine learning, deep learning, generative AI, and text representation techniques. Additionally, the candidate should have excellent communication skills, a strong work ethic, and a passion for delivering high-quality, innovative solutions.

Responsibilities:

• Leading in designing the research and experiment methodology, specifically in LLM core components.
• Conduct independent research and report experiment results, research findings to stakeholders.
• Collaborate with engineering team in various data engineering tasks, including data collection, preprocessing, quality control, and augmentation, to curate high-quality datasets essential for model training,
• Utilize analytical techniques to extract meaningful insights from large datasets
• Communicating regularly with supervisor and Research leads on scientifical progress, insight and research direction.
• Publishing research papers in reputable journals and conferences is valued, it is not a strict requirement for this role.
• Contribute to other program-related projects.
• Collaborate with engineering team to translate researched technology (low TRL) to engineering (high TRL).
• Candidates applying for senior staff positions are expected to mentor and support team members (or cross-team members) in technical advising.

Requirement:

• Masters or PhD in Computer Science, Computer Engineering, Statistics, Engineering, or related field.
• 2-4 years of experience in research and development, specifically in one or more of the following areas:

1. Natural language processing, specifically in large language model (LLM) core component, e.g., joint entity relation, information retrieval, prompt engineering, reasoning, sentiment analysis, vulnerabilities in LLM, etc.
2. Generative AI, specifically in generating synthetic data.

• Demonstrate an analytical mindset with adept problem-solving skills.
• Keep abreast of the latest advancements in program-related techniques and methodologies,
• Exhibit a strong drive to deliver optimal solutions within tight timelines.
• Strong communication and organizational skills.
• Comprehensive documentation of technical specifications, architectural designs, and best practices.

Summary

This is an applied AI research role. The researcher will design and build non-deterministic analytical tools — grounded in statistical modelling, predictive models, and machine learning — that work across structured and unstructured data. Another part of the role is developing AI agents powered by large language models (LLMs) that can reason over and orchestrate these tools to solve real analytical problems end to end. The researcher is expected to be rigorous with data, curious about intelligent systems, and motivated by seeing their work produce something that actually runs.

Responsibilities

Research & Analysis

• Work with structured datasets to identify patterns, trends, and statistically significant findings that inform research questions and business decisions.
• Apply and adapt predictive models (regression, classification, time series forecasting) and mathematical models to address defined research problems.
• Conduct exploratory data analysis (EDA) to assess data quality, distributions, and feature relevance prior to modelling.
• Design and run statistical experiments, including hypothesis testing, power analysis, and significance testing.
• Validate model performance using appropriate evaluation frameworks and communicate limitations honestly.

AI development

• Study and apply LLM-based agent frameworks to automate and orchestrate research workflows.
• Design and build AI agents that use LLMs as a reasoning engine, with data science models and pipelines exposed as callable tools.
• Integrate agent outputs with structured data — enabling agents to query databases, invoke predictive models, and interpret results.
• Evaluate agent performance: task completion, reasoning coherence, tool-use accuracy, hallucination rate, and failure handling.
• Stay current with the evolving agent landscape and share learnings with the team.

Technical development

• Write clean, well-documented Python code for data processing, feature engineering, model development, and result visualisation.
• Query and manipulate structured data from relational databases using SQL.
• Use core data science libraries including Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn, etc.
• Contribute to shared codebases, following team coding standards and version control practices (KLASS Gitlab).
• Assist in building reproducible data pipelines and experiment tracking workflows.

Collaboration & communication

• Work closely with senior researchers and principal researchers to scope, plan, and deliver project workstreams.
• Contribute to the quarterly and annual research reports, translating technical findings into clear, accessible language.
• Present findings to internal and client-side collaborators, including non-technical audiences.
• Participate in team research reviews, peer code reviews, and knowledge-sharing sessions.

Requirements

Education

• Master’s or PhD – Computer Science, Mathematics, Statistics, Physics, Engineering, Data Science, or a closely related quantitative discipline. (Preferred)
• Bachelor’s Degree – In a relevant quantitative field, with demonstrable hands-on experience in data science (e.g. internships, research projects, competitions, or open-source contributions).
• Fresh Graduates – Encouraged to apply. We value strong fundamentals and intellectual curiosity over years of experience.

Technical skills — essential

• Python programming: proficiency with core data science libraries (Pandas, NumPy, Scikit-learn, SciPy, Matplotlib, Seaborn).
• Data wrangling: handling missing data, outlier detection, feature engineering, and normalisation on structured datasets.
• Mathematical foundations: linear algebra, calculus, and optimisation as applied to machine learning and statistical modelling.
• Working knowledge of modelling families: supervised, unsupervised, and generative models — see the dedicated modelling section below for full detail.

Personal Qualities

1. Research mindsetIntellectually curious across both quantitative and AI domainsRigorous and detail-oriented in analysis and documentationComfortable with ambiguity and iterative problem-solvingHonest about uncertainty — in models and in LLM outputs
2. Working styleClear communicator, written and verbalCollaborative team player in a research environmentSelf-directed with good time managementEager to learn and receive constructive feedback

Experience

0–2 years of professional or research experience

We define experience broadly. Relevant experience includes academic research projects, dissertations with a data science component, internships, industry placements, personal or open-source projects, Kaggle competitions, or research assistant roles. We are more interested in the quality of your analytical thinking than the number of years on your CV.