Total 1,263 data entry job vacancies

Overview

Global project and development organisation delivering complex, mission-critical facilities across the data centre sector. Acting on behalf of owners and end-users, the team is deeply involved from early design through construction, commissioning, and handover, ensuring performance, reliability, and long-term operational success.

They are seeking a Mechanical Engineering Lead to take ownership of mechanical systems delivery for data centre new build and infrastructure fit-out projects.

The Role

As the Mechanical Engineering Lead, you will provide technical leadership across design, construction, and commissioning. You will advise on engineering design decisions, constructability, risk, and performance, ensuring mechanical systems are delivered to the highest technical and operational standards.

This is a senior, hands-on role suited to a self-starter who is comfortable working across multidisciplinary teams and engaging directly with consultants, contractors, and stakeholders.

Responsibilities

Mechanical Design & Engineering Leadership

• Lead the design, development, and implementation of mechanical systems for data centre new build and infrastructure fit-out projects

• Prepare and review mechanical specifications, technical drawings, and construction documentation, including HVAC, piping, and equipment layouts

• Evaluate and select mechanical equipment and systems to ensure performance, redundancy, and constructability

• Perform and review HVAC load calculations, airflow analysis, and energy modelling to optimise system efficiency and resilience

• Assess design options and conduct feasibility studies and cost analyses, proposing value-driven improvements where appropriate

Construction & Commissioning Support

• Provide technical leadership during construction, including review of contractor submittals, RFIs, and design clarifications

• Conduct site inspections to ensure works comply with design intent, specifications, and applicable codes

• Support and participate in commissioning, testing, and integrated systems validation

• Troubleshoot mechanical and HVAC system issues to ensure readiness for operations and handover

Stakeholder & Project Collaboration

• Collaborate closely with architects, engineers, project managers, and client stakeholders to integrate mechanical systems seamlessly into the overall project

• Act as a key technical interface between the client, consultants, and contractors

• Ensure mechanical systems align with operational, maintenance, and lifecycle requirements

Continuous Improvement

• Stay current with industry trends, regulations, and emerging technologies in data centre mechanical and HVAC systems

• Apply best practices in energy efficiency, sustainability, and system resilience to improve design and delivery outcomes

Requirements

• Bachelor’s degree in Mechanical Engineering or related discipline

• 10+ years of experience designing and managing mechanical systems for data centre new build and infrastructure fit-out projects

• Strong experience in HVAC systems, including chillers, cooling towers, AHUs, control systems, and redundancy strategies

• Experience with plumbing, piping, and fire protection systems

• Professional Engineer (PE) licence is preferred

• Proficient in tools such as AutoCAD, Revit, Autodesk Construction Cloud, Procore, or similar platforms

• Strong understanding of codes, standards, and best practices for mission-critical mechanical systems

• Experience with energy-efficient and sustainable mechanical design
  

  How to Apply: Click Apply Now, or send your resume directly to:  Talent@BuildBridgePartners.com
  
  
  

  
  
  

  
  
  

  EA Name: BuildBridge Partners Pte Ltd
  EA License No: 25C2918
  EA Reg No: R1551092
  Consultant: Khoo Yan Jie

Join our collaborative environment, where you'll contribute to our strategy and make an impact on product success. As a Product Associate in the Market Data Services team, you will act as a primary point of contact for stock exchanges and other third-party market data vendors, supporting market data licensing for JPMorganChase proprietary applications, ensuring compliant use of licensed data, and supporting third-party vendor audits. You will collaborate with internal technology teams to understand data usage and partner with Global Sourcing and Legal to review and implement new and updated licensing. As a valued member of the team, you will have the opportunity to learn and grow in a dynamic and fast-paced environment, making a tangible impact on our products and customer experiences.

Job responsibilities

• Serves as a primary contact for exchange and third-party market data vendor relationships, supporting day-to-day queries, renewals/updates, and ongoing engagement

• Supports the implementation and maintenance of market data licensing for proprietary applications by partnering with application and technology teams to understand how data is accessed, used, and distributed

• Helps ensure compliant usage of third-party market data by translating licensing terms into practical requirements and supporting tracking/attestations where applicable

• Coordinates and supports third-party vendor/exchange audits (evidence collection, stakeholder coordination, issue tracking, and remediation follow-through to closure)

• Partners with Global Sourcing and Legal to support review and implementation of new and updated licensing terms, including assisting with contract interpretation and operationalization

• Builds strong relationships with vendors/exchanges and internal stakeholders to maintain appropriate licensing coverage in a continually evolving market data landscape

• Communicates clearly across business, technology, legal, sourcing, and vendor stakeholders; escalates risks/issues with appropriate context and recommended actions

Required qualifications, capabilities, and skills

• Bachelor's degree in Business Administration, Accountancy, Economics or equivalent

• Formal training or 2+ years applied experience in project management, compliance, audit, vendor management or operations

• Strong communication skills and stakeholder management across internal teams and external vendors

• Basic understanding of market data concepts and common vendor offerings (e.g., difference between data feeds and terminals; how market data is used within financial institutions)

• Strong organizational and prioritization skills with attention to detail; ability to manage multiple workstreams and deadlines

• Proficiency with Microsoft Office (Excel, PowerPoint, Outlook)

Preferred qualifications, capabilities, and skills

• Experience reading and understanding contracts/terms (e.g., licensing terms, usage restrictions, audit clauses) and applying them in day-to-day execution

• Audit experience (e.g., supporting or running audits, working with business stakeholders, gathering evidence, managing actions to closure)

• Foundational technical knowledge, including conceptual understanding of application development and core infrastructure components (e.g., networks, servers), sufficient to partner effectively with technology teams

• Understanding of AI tools or automation to enhance workflows and improve efficiency

To apply for this position, please use the following URL:

https://ars2.equest.com/?response_id=f4a8646490a976eece75e5d7ca5d8ad8

Purpose of the role – mission: The Data Scientist role is responsible for designing and managing universe studies, setting up the extrapolation for Retail Panels, documenting methodologies, ensuring quality assurance, and monitoring key performance indicators (KPIs) related to Panel Health. This role requires a strong background in data analysis, statistical modeling, and quality control processes as well as strong production system processes for PoS. This role supports the China market.  

Key activities:  

• Methodology and Universe Studies: Design and manage universe studies, including project management.  

• Document methodologies for transparency and provide clear explanations of existing methods.  

• Review results of universe studies and insert changes in the POS Manager.  

• Conduct impact analysis of universe studies.  

• Design and simulate extrapolation setups for new panels and sign off on the designs.  

• Quality Assurance: Optimize samples by analyzing shop contributions, detecting MDQC (Market Data Quality Check) outliers, meeting target sample requirements, and addressing issues like empty shops and slow sales.  

• Detect and address systematic methodological issues and prepare cleanup impacts for critical findings (end-to-end).  

• Modeling and Extrapolation: Model missing retailers completely outside the system and maintain complex models.  

• Support the setup of modeling missing retailers in the system and hand over to Stat Ops for ongoing maintenance and execution.  

• Implement new country-channel setups, including reviewing channel definitions, designing universes and samples, and providing setup instructions.  

• Quality Monitoring: Resolve Level 2 methodology clarification issues.  

• Monitor KPIs and conduct root cause analysis (RCA) for panel health, focusing on samples, missing retailers, universes, copy shops, and MDQC related to samples and extrapolation.  

• Define and specify improvement points for panel health.  

Kickstart your marketing career with hands-on experience and structured training!

We are seeking a motivated and enthusiastic Event and Marketing Associate to join our team in Singapore. This is an entry-level position suitable for individuals who are keen to develop a career in marketing and gain hands-on experience in campaign execution and customer engagement.

Training and mentorship will be provided to support your professional development.

1️⃣ Key Responsibilities

Support the planning and execution of marketing campaignsEngage with customers to promote brand awareness and campaign objectivesWork closely with team members to ensure smooth campaign operationsContribute ideas during team discussions and campaign brainstorming sessionsMonitor and provide feedback on campaign performance and customer responsesDevelop communication and interpersonal skills through on-the-job experience

2️⃣ Qualifications and Skills

No prior experience required; training will be providedGood communication and interpersonal skillsPositive attitude with a proactive mindset and willingness to learnAble to work both independently and in a team

3️⃣ What We Offer

Structured training and onboarding programmeMentorship and guidance from experienced team membersOpportunities for skills development and career progressionExposure to different marketing campaigns and projects

4️⃣ Additional Information

Position Type: Full-TimeLocation: Singapore

Only shortlisted candidates will be notified.

Kickstart your marketing career with hands-on experience and structured training!

We are seeking a motivated and enthusiastic Event and Marketing Associate to join our team in Singapore. This is an entry-level position suitable for individuals who are keen to develop a career in marketing and gain hands-on experience in campaign execution and customer engagement.

Training and mentorship will be provided to support your professional development.

1️⃣ Key Responsibilities

Support the planning and execution of marketing campaigns

Engage with customers to promote brand awareness and campaign objectives

Work closely with team members to ensure smooth campaign operations

Contribute ideas during team discussions and campaign brainstorming sessions

Monitor and provide feedback on campaign performance and customer responses

Develop communication and interpersonal skills through on-the-job experience

2️⃣ Qualifications and Skills

No prior experience required; training will be providedGood communication and interpersonal skills

Positive attitude with a proactive mindset and willingness to learn

Able to work both independently and in a team

3️⃣ What We Offer

Structured training and onboarding programme

Mentorship and guidance from experienced team members

Opportunities for skills development and career progression

Exposure to different marketing campaigns and projects

4️⃣ Additional Information

Position Type: Full-Time

Location: Singapore

Only shortlisted candidates will be notified.

School of Electrical and Electronic Engineering (EEE) is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduate students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

For more details, please view: https://www.ntu.edu.sg/eee

EEE / Satellite Research Centre (SaRC):

SaRC is dedicated to performing R&D projects in space science and technology. SaRC has successfully developed, launched, and operated 13 satellites in orbit (2023). The Centre has more than 12 years of accumulated experience and data for satellite design and operation. SaRC has a full-fledged of facilities to realize spacecraft simulation, testing, integration, and operation. The engineering laboratory, clean rooms and mission control room are equipped with specialized equipment such as the thermal vacuum chamber and S/X band 6.1m antenna dish. SaRC is working closely with local SME, regional MNC, universities, and space agencies. The objective is to share and collaborate with international expertise to achieve excellence in space.

Key Job Purpose:

We are looking for a Research Associate to work on data assimilation system for regional numerical weather prediction (NWP) system. The role will focus on exploring and adding new space-based observations in the next-generation NWP system jointly developed by the Climate and Weather Research Alliance Singapore (CAWRAS). The candidate needs to have a good working knowledge in data assimilation methods such as 3D/$D-var, Ensemble methods and Kalman filters. Familiarity w JEDI-based data assimilation system is a good advantage. Prior knowledge and experience in satellite observation, pre-processing, quality control, error modelling and correction are an advantage. Good programming experience is required (eg: Python, Fortran, C++).

Key Responsibilities:

• Assimilate new satellite observations

• Analyze the impact of data assimilation on weather prediction

• Perform data-preprocessing, quality control, error modelling and correction

• Write reports and scientific publications

Job Requirements:

• Master qualification degree in Engineering or Computer Science or related field

• Familiarity w data assimilation and data processing

• Good written and oral communication skills

• Proficiency in programming and analysis

• Competent in data analysis and quality control

• Ability to work independently and as a team member

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

Summary

The AIML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing. The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. We also develop innovative generative AI technologies based on Large Language Model to power innovative features in both Apple’s devices and services on the cloud.

As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking of search and developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from different sources to provide the user with results that best satisfies their intent and information seeking needs.

You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple’s AI powered products, also conduct applied research to transfer the groundbreaking research in generative AI to production ready technologies.

Description

As a member of our fast-paced group, you’ll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning, NLP experience and solid engineering skills in creating outstanding search and NLP services. This role will have the following responsibilities:

• Analyzing search ranking and relevance requirements, issues and opportunities
• Developing, fine-tuning, and evaluating domain specific Large Language Models for various tasks and applications in Apple’s AI powered products
• Conducting applied research to transfer the pioneering research in generative AI to production ready technologies
• Understanding product requirements, translate them into modeling tasks and engineering tasks
• Building machine learned models for search relevance, ranking and query understanding problems
• Integrating search functions into Apple products, such as Siri, Spotlight, Safari, Messages, Lookup, etc.
• Building end-to-end production system including query understanding and ranking to power search
• Applying Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processing

Minimum Qualifications

• PhD, MS or equivalent experience
• Experience in machine learning, deep learning, information retrieval, natural language processing or data mining
• Experience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs.
• Proficiency in one of following languages: Python, Go, Java, C++

Preferred Qualifications

• Excellent data analytical skills
• Good interpersonal skills and team player
• PhD preferred

Apple is an equal opportunity employer that is committed to inclusion and diversity, and thus we treat all applicants fairly and equally. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Overview:

This role involves coordinatingmanpower, monitoring progress, and supporting quality checks for successfulproject delivery

Your Role:

• Supervise and coordinate all mechanical works at the construction site, including equipment installation, alignment, and testing.
• Ensure work is carried out according to approved drawings, specifications, and safety regulations.
• Monitor daily progress, manpower allocation, and equipment utilization to meet project timelines.
• Conduct site inspections and verify compliance with quality standards and regulatory requirements.
• Liaise with engineers and other disciplines to resolve technical issues and implement design changes.
• Prepare daily and weekly progress reports, punch lists, and assist in material tracking.
• Ensure proper handling and installation of mechanical equipment, piping, and related components.
• Enforce safety protocols and maintain a safe working environment for all personnel.
• Support pre-commissioning and testing activities as required.
• Perform other duties as assigned by the Project Director

About you:

• Diploma or Certificate in Mechanical Engineering or related discipline.
• 10 years of relevant experience across Data Centre / Telecom projects.
• Strong knowledge of mechanical systems, equipment installation
• Understanding of modular construction will be an advantage
• Familiarity with international codes and standards (ASME, API, ISO, etc.).
• Experience in site coordination and working with multicultural teams.
• Good communication and leadership skills.
• Ability to read and interpret mechanical drawings and specifications.
• Knowledge of safety regulations and site compliance requirements.

Rewards & benefits

Explore the rewards and benefits that help you thrive – atevery stage of your life and your career.

This includes:

• Comprehensive life insurance coverage
• Premium medical insurance
• Generous annual leave balance
• Flexible and hybrid work solutions
• Remote work opportunities outside of country
• Discretionary bonus program
• Relocation assistance
• Transportation & housing allowances (available for remote work locations)
• Employee Wellbeing Program: 24/7 access to specialists in finance, legal matters, family care, personal health, fitness, and nutrition

Seize every opportunity to sharpen your skills, expand yourexpertise, and be recognized for the impact you make.

About AtkinsRéalis

We're AtkinsRéalis, a world-class engineering services andnuclear organization. We connect people, data and technology to transform theworld's infrastructure and energy systems. Together, with our industry partnersand clients, and our global team of consultants, designers, engineers andproject managers, we can change the world. We're committed to leading ourclients across our various end markets to engineer a better future for ourplanet and its people.

Findout more.

about the company

Randstad is partnering with a leading commercial client to hire a Critical Facilties manager. In this role, you will be responsible for overseeing the daily operations, maintenance, and overall management of the building. You will ensure optimal operational efficiency, safety, regulatory compliance, and service excellence across all assigned sites.

about the job

• Oversee daily facility operations to maintain optimal health of all critical systems
• Develop and drive preventive and predictive maintenance strategies to minimize downtime
• Manage third-party service providers, monitoring their quality, safety, and SLA performance
• Lead end-to-end incident response
• Maintain comprehensive documentation for audits, certifications, and regulatory inspections

skills and experience required

• Diploma or Degree in Electrical Engineering, Mechanical Engineering, Facilities Management, or a closely related field
• Min 8 years of proven experience working in data centers, mission-critical facilities, or telecommunications environments
• Strong understanding of Uptime Institute Tier standards (Tier II–IV)
• ands-on experience with Building Management Systems (BMS), Energy Management Systems (EMS), and Computerized Maintenance Management Systems (CMMS)
• Solid ability to read and interpret Electrical Single Line and Mechanical schematics.

We encourage interested applicants to submit their CV to yitwei.kwan(@)randstad.com.sg

To ensure your application is fully considered, kindly include the following details:

• Your current availability
• Your salary expectation
• Your reason for separation from your current job

Please note that only candidates who are shortlisted will be contacted.

EA: 94C3609 / Reg: R1325913

Overview         

Responsible for project performance interms of HSE, schedule, design, scope quality, stakeholders, process, risk, project administration and cost. You will be required to perform duties diligently to the quality standards set by the Company and conform to the Company’s policies and business systems and be always committed to their implementation and continuous improvement.

Your role

• Project execution and administration using established work processes and company quality management systems.
• Leading interactive planning sessions and establishing project schedules.
• Risk identification and establishing project risk register.
• Liaising with the client and stakeholders to ensure all client requirements related to the work packages are met, in accordance with company procedures.
• Managing all employees under your report to ensure they are working efficiently and completing tasks correctly.
• Assist in all procurement/contract administration activities, including but not limited to preparing technical specification, reviewing, and analysing submissions, preparing reports, negotiating with tenderers/contractors, chairing and writing minutes, administering awarded contracts and closing final accounts for awarded contracts.

About you

• Preferred Degree Holder in Engineering/Architecture/Interior Design or relevant discipline.
• Have a minimum of 8 years of relevant experience across Data Centre / Telecom projects
• Understanding of modular constructionwill be an advantage
• Excellent communication and presentation skills
• Professional accreditation preferred e.g. PMP, RICS, CIOB
• With good understanding of statutory submissions following Fitting out work
• Able to work independently and run construction meetings
• Able to coordinate between stakeholders including clients, consultants and contractors

Rewards & benefits

Explore the rewards and benefits that helpyou thrive – at every stage of your life and your career.

This includes:

• Comprehensive life insurance coverage.
• Premium medical insurance.
• Generous annual leave balance.
• Flexible and hybrid work solutions.
• Remote work opportunities outside of country.
• Discretionary bonus program.
• Relocation assistance.
• Transportation & housing allowances (available for remote work locations).
• Employee Wellbeing Program: 24/7 access to specialists in finance, legal matters, family care, personal health, fitness, and nutrition.

Seize every opportunity to sharpen yourskills, expand your expertise, and be recognized for the impact you make.

About AtkinsRéalis

We're AtkinsRéalis, a world-classengineering services and nuclear organization. We connect people, data andtechnology to transform the world's infrastructure and energy systems.Together, with our industry partners and clients, and our global team of consultants,designers, engineers and project managers, we can change the world. We'recommitted to leading our clients across our various end markets to engineer abetter future for our planet and its people.

Find out more.

About the role

The RDM Manager is responsible for managing day-to-day research, data, and Monitoring & Evaluation projects within the RDM function. The role translates departmental plans into concrete project scopes and timelines, oversees execution, and ensures that research and data outputs are robust, timely, and usable by operations and service teams.

The role needs a curious, self-directed problem solver who can clarify ambiguous questions, independently drive projects, engage stakeholders, synthesise and organise evidence, and turn information into actionable insights.

Responsibilities

The role contributes to Mindfull’s community mental health mission by ensuring that research, evaluation, and data initiatives are well-planned, well-executed, and practically useful for decision-making.

• Manage research and evaluation projects

Plan, coordinate, and deliver research and evaluation projects (e.g. outcomes studies, programme evaluations, needs assessments), including defining scope, methodology, timelines and resource requirements.

• Ensure methodological rigour and ethical practice

Develop and/or adapt research instruments, sampling approaches and analysis plans; ensure compliance with research ethics, data privacy and organisational policies.

• Lead analysis, synthesis and insight generation

Clean, manage, and analyse quantitative and qualitative data to identify patterns, implications and recommendations, presenting evidence in reports, dashboards, and presentations that support organisational learning, programme design and decision-making.

• Support data systems and governance

Work with IT and relevant teams to improve data collection processes, data quality checks and documentation; apply agreed data standards, and identify internal policies and SOPs for data governance, research ethics, data privacy, and dissemination.

• Stakeholder engagement and influence

Facilitate discussions with Programme/Services, Comms, HR, Finance and other functions to clarify needs, surface assumptions and co-create solutions. Engage stakeholders across different functions and seniority levels, asking meaningful questions and challenging assumptions constructively where suitable.

• Process improvement and capability-building

Identify opportunities to streamline RDM workflows, templates, and reporting; contribute to data literacy and evidence-use initiatives as assigned by the Deputy Head.

• Drive project planning and delivery

Translate broad objectives into project scopes, workplans, milestones and deliverables, anticipating risks, dependencies and stakeholder needs. Proactively identify and resolve issues that may affect project progress.

Requirements:

(Skills / Knowledge / Abilities)

• 3-5 years’ relevant experience in research, data analytics, evaluation, public policy or related fields, preferably with exposure to social services, healthcare, or public sector settings.

• Strong working knowledge of research methods and/or evaluation frameworks (quantitative and/or qualitative), including hands-on experience in designing studies, managing data and conducting analyses.

• Proficient in data tools (e.g. Excel, statistical software, survey platforms, data visualisation tools) and comfortable working with both numerical and textual data.

• Demonstrated experience leading projects or workstreams independently, including planning, coordinating with multiple stakeholders and delivering outputs to agreed timelines and quality.

• Demonstrated ability to break down ambiguous problems into key questions and information gaps, synthesising information to develop recommendations and options, and communicating reasoning clearly.

• Good written and verbal communication skills, with experience preparing structured reports and presentations for stakeholders of differing levels.

• Organised, detail-oriented and adaptable, able to manage multiple concurrent projects and deadlines.

• Some experience in supervising junior staff or interns will be an advantage.

Summary

The AIML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing. The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. We also develop innovative generative AI technologies based on Large Language Model to power innovative features in both Apple’s devices and services on the cloud.

As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking of search and developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from different sources to provide the user with results that best satisfies their intent and information seeking needs.

You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple’s AI powered products, also conduct applied research to transfer the groundbreaking research in generative AI to production ready technologies.

Description

As a member of our fast-paced group, you’ll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning, NLP experience and solid engineering skills in creating outstanding search and NLP services. This role will have the following responsibilities:

• Analyzing search ranking and relevance requirements, issues and opportunities
• Developing, fine-tuning, and evaluating domain specific Large Language Models for various tasks and applications in Apple’s AI powered products
• Conducting applied research to transfer the pioneering research in generative AI to production ready technologies
• Understanding product requirements, translate them into modeling tasks and engineering tasks
• Building machine learned models for search relevance, ranking and query understanding problems
• Integrating search functions into Apple products, such as Siri, Spotlight, Safari, Messages, Lookup, etc.
• Building end-to-end production system including query understanding and ranking to power search
• Applying Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processing

Minimum Qualifications

• PhD, MS or equivalent experience
• Experience in machine learning, deep learning, information retrieval, natural language processing or data mining
• Experience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs.
• Proficiency in one of following languages: Python, Go, Java, C++

Preferred Qualifications

• Excellent data analytical skills
• Good interpersonal skills and team player
• PhD preferred

Apple is an equal opportunity employer that is committed to inclusion and diversity, and thus we treat all applicants fairly and equally. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

School of Electrical and Electronic Engineering (EEE) is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduate students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

For more details, please view: https://www.ntu.edu.sg/eee

EEE / Satellite Research Centre (SaRC):

SaRC is dedicated to performing R&D projects in space science and technology. SaRC has successfully developed, launched, and operated 13 satellites in orbit (2023). The Centre has more than 12 years of accumulated experience and data for satellite design and operation. SaRC has a full-fledged of facilities to realize spacecraft simulation, testing, integration, and operation. The engineering laboratory, clean rooms and mission control room are equipped with specialized equipment such as the thermal vacuum chamber and S/X band 6.1m antenna dish. SaRC is working closely with local SME, regional MNC, universities, and space agencies. The objective is to share and collaborate with international expertise to achieve excellence in space.

Key Job Purpose:

We are looking for a Research Fellow to work on data assimilation system for regional numerical weather prediction (NWP) system. The role will focus on exploring and adding new space-based observations in the next-generation NWP system jointly developed by the Climate and Weather Research Alliance Singapore (CAWRAS). The candidate needs to have a good working knowledge in data assimilation methods such as 3D/$D-var, Ensemble methods and Kalman filters. Familiarity w JEDI-based data assimilation system is a good advantage. Prior knowledge and experience in satellite observation, pre-processing, quality control, error modelling and correction are an advantage. Good programming experience is required (eg: Python, Fortran, C++).

Key Responsibilities:

• Lead EEE/SaRC research on satellite data assimilation & weather prediction

• Assimilate new satellite observations

• Analyze the impact of data assimilation on weather prediction

• Perform data-preprocessing, quality control, error modelling and correction

• Write reports and scientific publications

Job Requirements:

• PhD qualification degree in Atmospheric Science or Engineering or Computer Science or related field

• Familiarity w data assimilation and data processing

• Good written and oral communication skills

• Proficiency in programming and analysis

• Competent in data analysis and quality control

• Ability to work independently and as a lead team member

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

About the Team:

Shopee's Data Product Management team is looking for data talents to design, build, and enhance data marts and data products in our e-commerce ecosystem. Both Data Marts and Data Products play a key role in facilitating and maximising the effectiveness of data to provide our users better experience with Shopee.

Job Description:

• Own and drive the product roadmap for various data marts and data products supporting both internal and external data users.

• Collaborate closely with various stakeholders to implement product enhancements that fulfill user and business requirements.

• Prioritize user requests and deliver high-quality Product Requirements Documents (PRDs) that clearly outline goals, scope, user scenarios, analytics frameworks, and data logic to meet user needs.

• Work in partnership with other product teams, engineering teams, and project managers to drive feature releases while ensuring quality, speed, and sustainability.

• Promote and increase the usage of data marts and data products among regional and local data users through initiatives such as conducting sharing and training sessions and creating and maintaining user guides.

• Serve as the data domain expert for your portfolio.

Job Requirements:

• Bachelor's Degree in Computer Science 

• At least 3 years of full time product management / technical product management experience 

• Prior experience working with data warehouse or data mart is preferred

• Experience in SQL, creating dashboard using BI tools is preferred

• Excellent analytical, logical thinking, problem solving, stakeholder management, project management, product sense, communication and writing skills

• Ability to work in a dynamic and agile environment

• Energetic, positive attitude and an effective team player

Job Summary

We are seeking an ambitious Marketing Executive to increase brand awareness and grow the customer base by promoting products and services at event sites in Singapore.

Responsibilities

• Execute event marketing campaigns by coordinating tasks and ensuring timely completion to meet campaign goals
• Engage with existing and potential customers to communicate product and service benefits clearly and effectively
• Collaborate with the Marketing team to develop and implement promotion strategies that drive customer interest and sales growth

Preferred competencies and qualifications

• Experience in Sales, Marketing, or related roles to support campaign execution and customer engagement
• Strong communication and presentation skills to effectively convey marketing messages
• Openness to learning and adapting to new marketing techniques and strategies

Candidates with no prior experience are welcome to apply