Total 48 Internship service engineer job vacancies

About the opportunity:

Join our Malaysia ETS Team for a hands-on internship where you’ll gain real exposure to end-to-end IT operations, system support, and project implementation. From day one, you’ll get exposure to real work initiatives and gradually take ownership of a technical improvement or automation project to be completed by the end of your internship.

You’ll begin by supporting the team in their day-to-day activities and progressively take on more independent responsibilities, with guidance and mentorship throughout. During your internship, you’ll gain exposure to areas such as IT Service Operations, Infrastructure Support, Process Automation, IT Asset Management, and Project Delivery that drive business efficiency and end-user satisfaction.

Responsibilities:

• Provide first-level technical support for users (hardware, software, and network issues).

• Assist in asset tagging, inventory tracking, and IT equipment deployment.

• Assist in maintaining and updating documentation for IT procedures and systems.

• Support the setup and configuration of laptops, printers, and other IT peripherals.

What you need to be successful:

• Availability of 4 months or longer.

• Currently pursuing or recently completed a degree in Information Technology, Computer Science, or a related field.

• Basic understanding of computer hardware, networks, and common operating systems.

• Strong problem-solving mindset and willingness to learn in a fast-paced environment.

• Eagerness to learn and adapt to new technologies.

What we offer:

• Practical experience: Work on meaningful projects with real business impact.

• Technical growth: Exposure to enterprise tools, IT service management systems, and emerging technologies.

• Mentorship & support: Learn from experienced team members in a collaborative environment.

• Business exposure: Understand how IT enables operations across a fast-paced organization.

Get to Know the Team

The DevTools Team builds and hosts internal platforms that help thousands of Grab engineers measure, monitor, and improve how they build software. Our flagship product, Engineering 360, is Grab's unified metrics platform — the single place where engineering leaders and individual engineers track productivity, code quality, system stability, and DORA signals across the company.

Get to Know the Role

We are seeking a Full Stack Developer Intern to work closely with our development team on building and maintaining Engineering 360 and related internal platforms. As part of this role, you will be exposed to both front-end and back-end development. Our tech stack includes React and JavaScript/TypeScript in Front-end, and Golang on the Backend. Apart from this, you will also be exposed to managing and building data streams and pipelines that power engineering metrics across Grab.

This is a fully onsite role, that will be based in our office at Petaling Jaya

The Critical Tasks You Will Perform

• You will work with the development team to build and maintain our internal engineering platforms.
• You will participate in the full software development lifecycle, from requirements gathering to deployment and maintenance. We follow an agile methodology with a 2-week Sprint.
• You will write clean, maintainable, and efficient code.
• You will troubleshoot and debug web applications and data pipelines.
• You will participate in code reviews and provide constructive feedback to other team members.

Get to Know the Team

You will be joining the Metadata & BI Platforms team within Grab's Data Engineering Platforms department. The team builds and maintains the systems that power Grab's data intelligence: Hubble (data discovery platform), Genchi (data observability platform), Superset and Power BI (business intelligence platforms), and the Data Agent (agentic analytics platform).

We work at the intersection of data engineering and AI, building systems that help thousands of internal users across Grab discover, understand, and act on data. The team is passionate about applying the latest AI advances to make data more accessible, intelligent, and useful at scale.

Get to Know the Role

As an AI Engineer Intern, you will contribute to building and improving AI-powered data platforms that make data discovery, observability, and analytics smarter and more intuitive at Grab. You will get hands-on experience building production-grade systems — from LLM integrations and agentic workflows to vector search pipelines — alongside engineers who ship AI features at scale.

This is a high-impact role where your contributions will be used by real internal users across the company. You will work in a fast-paced, collaborative environment with mentorship from experienced engineers, gaining exposure to the full AI product development lifecycle from design to deployment.

The Critical Tasks You Will Perform

• You will design and implement backend services and APIs that support AI-driven data platform features.
• You will integrate LLM APIs into platform workflows to enable intelligent automation and natural-language capabilities.
• You will contribute to building and orchestrating agentic systems (e.g., using LangGraph) for use cases such as data troubleshooting, SQL/code generation, and data Q&A.
• You will develop and optimize vector search and RAG pipelines to improve data retrieval and semantic understanding.
• You will debug and resolve performance or reliability issues in complex data systems, working toward production readiness.
• You will Collaborate with product managers, data engineers, and data analysts to deliver high-impact features.

Get to Know the Team

The ACE team is responsible for all of food, mart, dine out and reservation business. We use a microservice architecture in backend, and frontend tech stack use including (iOS, ADR, Flutter and Web). We often do platform abstraction to support our new our requirements to go online faster.

Get to Know the Role

This role is for supermarket product testing and is required because we are supporting our fast-growing business. You will report to the QA Engineering Manager II and be based at Petaling Jaya, Malaysia.

The Critical Tasks You Will Perform

• You will define test plans, test specifications, test suites, test cases and proposed tools for functional, security and performance testing
• You will understand the product/feature in-depth from the end-user point of view and the underlying implementation.
• You will work with the Product Manager, Frontend, and Backend developers to understand the feature and the implementation to build feature tests and impacted feature test cases.
• You will debug failed test cases by analyzing logs and API responses and report bugs with details. Follow-up on bugs to closure.
• You will maintain UI (Web, Mobile app) and API automation suites. Debug and correct script and data issues in automation suites.
• You will understand automation framework and add automation test cases for the new features and regression test cases

About the Role

We are looking for a passionate Android Engineering Intern to join our mobile team. You will work alongside experienced engineers to build, test, and ship features that impact our users. This is a hands-on role where you will write real code, participate in code reviews, and learn how to build scalable mobile applications in a fast-paced environment.

What You'll Do

• Develop and maintain features for our Android application using Kotlin (and Java).
• Collaborate with engineers, designers, and product managers to understand requirements and deliver high-quality user experiences.
• Write clean, testable code and participate in peer code reviews.
• Help identify and fix bugs to improve application performance and stability.
• Participate in team agile processes, including daily stand-ups and sprint planning.

About the Role

We are looking for a passionate iOS Engineering Intern to join our mobile team. You will work alongside experienced engineers to build, test, and ship features that impact our users. This is a hands-on role where you will write real code, participate in code reviews, and learn how to build scalable mobile applications in a fast-paced environment.

What You'll Do

• Develop and maintain features for our iOS application using Swift.
• Collaborate with engineers, designers, and product managers to understand requirements and deliver high-quality user experiences.
• Write clean, testable code and participate in peer code reviews.
• Help identify and fix bugs to improve application performance and stability.
• Participate in team agile processes, including daily stand-ups and sprint planning.

Nice to Have

• Personal iOS projects, apps published on the App Store, or contributions to open-source projects.
• Familiarity with modern iOS architectures (e.g., MVVM, VIPER, RIB).
• Exposure to unit/UI testing or CI/CD pipelines.

Get to Know the Team

Grab's Integrity team is continuously improving our platforms. We process thousands of bookings a day and see hundreds of millions of traffic data per month. Our goal is to deliver mechanisms that provide user protection while minimizing user friction. See more what the team has launched at https://www.grab.com/my/about/trust-and-safety.

The Critical Tasks You Will Perform

• You will work with the engineering teams to design and write code and technical documentations to build reusable software components for the Grab platform
• You will participate in code and design reviews, share knowledge, tips and tricks, and generally help out with different teams
• You will take ownership of projects and work with the Product, Design, Mobile and Backend teams to build consumer and partner facing new products, platforms and features
• You will monitor the performance of the live apps and improve them on both code and experience level

Get to Know the Team

Grab's Integrity team is continuously improving our platforms. We process thousands of bookings a day and see hundreds of millions of traffic data per month. Our goal is to deliver mechanisms that provide user protection while minimizing user friction. See more what the team has launched at https://www.grab.com/my/about/trust-and-safety.

The Critical Tasks You Will Perform

• You will work with the engineering teams to design and write code and technical documentations to build reusable software components for the Grab platform
• You will participate in code and design reviews, share knowledge, tips and tricks, and generally help out with different teams
• You will take ownership of projects and work with the Product, Design, Mobile and Backend teams to build consumer and partner facing new products, platforms and features
• You will monitor the performance of the live apps and improve them on both code and experience level

JOB DESCRIPTION

Job Title:Financial Accounting（internal）and Admin

Occupation: Accounting office and Admin
Job Description& Requirements

1.Financial - Maintain and manage the full set accounts ofcompanies of ERI，including-

1.2  Prepare month-endclosing such as AP, AL, GL. Annual financialreport,

1.2 Quarterly GST reparation& submission for ESS & EAS, andannual tax filing.

1.3 Monitor suppliers' invoicesand ensure paymentsare up-to-date andmaintain proper documentation and filing systemsfor financial records andtransactions.

1.4 Invoicing statistics and bank transaction in& out inspection,intercompany transactions and bank reconciliation.

2.Admin- General administrative work，including-

2.1 Office works, Letters & couriers receiving and sending, otherofficejob like scanning, data entry, office rental management, liaise withthemanagement office and landlord.

2.3 Check and verifyemployee claims for disbursement

2.2 Prepare, calculate CPF & payroll(including commission) of staffs.

2.3 Maintenance of the HR document, recruitment, staff files. Meeting,event arrangement. Visitor reception & registration. Attendancesheet andleaves records updated.

2.4 Work pass (EP & DP/SP/WP) application and renew for staffsif any.

3.   Other jobs- arranged and authorized bythe General Manager

[2026 Internship] Software Engineer Intern

Duration: Full-time Internship (6-month period)

At Codex Solutions, we’re on a mission to explore what’s next in AI — building smart systems that automate, enhance, and inspire.

As a Software Engineer, you’ll be part of a hands-on team experimenting with AI technologies while applying core software engineering fundamentals to design, build, and test real systems. You’ll work at the intersection of software development and applied AI, learning how modern AI capabilities are engineered into reliable, maintainable applications.

You’ll get to explore, prototype, and implement AI-driven solutions that streamline work, amplify human capability, and bring real value to the organisation. If you enjoy writing code, breaking problems down into logical components, and turning ideas into working software, this internship is for you.

Why This Matters

AI is changing how organisations operate — automating routine tasks, enabling smarter decisions, and freeing people to focus on what truly matters.

This internship gives you the opportunity to apply software engineering principles to AI-enabled systems, designing and building tools that support corporate automation while learning how real-world software is developed, tested, and improved over time.

What To Expect:

1. Design, develop, and prototype software applications that incorporate AI technologies such as Generative AI, Agentic AI, and automation frameworks, with a focus on corporate process automation.

2. Build and test intelligent systems such as AI-powered software components such as assistants, workflow bots, APIs, and automation services to improve internal operations.

3. Collaborate with cross-functional teams to identify high-impact business areas where AI can drive efficiency and innovation.

4. Develop and refine AI-enabled workflows, including prompt design, LLM integration, and retrieval augmented generation (RAG) pipelines.

5. Support the full lifecycle of end-to-end software and AI implementation from ideation and proof-of-concept to testing, deployment, and continuous improvement.

6. Stay curious about emerging AI and software development trends, sharing insights and experimental findings with the wider team.

Requirements

During the internship, you will get to learn and experience:

• How to apply software engineering fundamentals (modular design, basic architecture thinking, debugging, and testing) when building AI-enabled systems.
• Hands-on experience experimenting with different AI models, APIs, and frameworks, and integrating them into working software applications.
• The fundamentals of Generative AI and Agentic AI, and how they can be applied to solve real business challenges.
• Practical skills in coding, API integration, AI prototyping, and prompt engineering, with exposure to how AI systems fit into existing applications and workflows.
• An introduction to responsible, secure, and ethical AI development, including awareness of data handling and system limitations.

Based in Singapore, the Data ScienceIntern will develop and apply machine learning and computer vision techniquesto extract actionable insights from data collected by inspection and NDT tools,helping to advance the company's software products and solutions.

What will you do

• Develop tools to process the high volume of information collected by cameras and NDTtools (e.g Ground Penetrating Radar)
• Uncover hidden data correlations in aforementioned data (e.g. presence of corrosion vs concrete cover vs geographical location)
• Improve existing software tools using data science

1. Discover, learn and apply state-of-the-art Machine Learning techniques to InspectionTech problems.
2. Leverage data science techniques to improve customer insights in the InspectionTech space.

• Support project lifecycles from brainstorming to production
• Contribute to developing cutting-edge software and solutions that add value to the company and its customers.

What do we expect

• Pursuing a bachelor’s degree in Computer Science or related fields.
• Knowledge in Machine Learning libraries such as PyTorch.
• Knowledge in Computer Vision libraries such as OpenCV.
• Knowledge in Python and neural network frameworks (Pytorch, TensorFlow).

If you are currently pursuing a Degree in Chemical Engineering or Environmental Engineering and looking for 6-months internship, COME APPLY WITH US!

• Fortune 500 US MNC Company into Chemical Manufacturing Industries
• Gul Circle (Transport provided at CCK, JE, Boon Lay, Outram)
• Monday - Friday; 8:15AM to 5PM

Job Responsibilities

• Support the design and setup of cooling tower water treatment systems, focusing on energy efficiency and water savings to help clients achieve their sustainability goals
• Assist in managing water treatment projects to ensure delivery within timeline and budget
• Develop and enhance training materials for water treatment analyzers to improve internal team understanding of system functionality
• Collaborate with cross-functional teams to support project execution and technical documentation

Role Requirements

• Basic understanding of water chemistry is an advantage
• Proficient in AutoCAD or willing to learn
• Strong communication skills and willingness to learn in a technical environment

If you are keen toexplore this career opportunity, kindly send a copy of your resumeto rrkc@rapidrecruitmentasia.com or simply click the button to APPLYNOW! We regret that only shortlisted applicants will be notified.

Chan Ku Ci -R22111446
EA License No:16C8261

Job Description:

1. Unit inspection, readiness/preparation:

Conduct quality inspection of 100% of the units to identify defects for rectification, ensuring that home units handed over to home buyers are in good condition. 

2. Defects Rectification

Ensure defects rectification completed within stipulated timeline by liaising with main contractor and owners on rectification works and arranging joint inspections with owners on completion where necessary.

3. Unit handover to owners

Assist the Customer Service team in the liaison with main contractor on handover preparation by ensuring that the handover kit is complete on time with complete information.

4. Handling Customer Complaints/ feedback

Assist in the resolution of owners’ complaints arising from defects and other area and ensure Owners’ complaints resolved satisfactorily.

Job Requirements:

- Diploma/university undergraduates from related field of studies with basic sustainability knowledge are welcome to apply

- Possess a good aptitude for learning skills and knowledge.

- Able to work well in a team and be an effective team player.

Requirements

City Developments Limited (CDL) is committed to fostering an inclusive culture that respects the diversity of its employees and stakeholders. As a signatory of the Employers Pledge for Fair Employment with TAFEP since 2008, CDL’s recruitment process adheres to strict guidelines on non-discrimination and fairness, regardless of gender, ethnicity, religion, or age.

As an AI Engineer Intern, you'll be part of a dynamic team focused on developing, refining, and deploying core AI features for our proprietary AI-driven products and solutions. You'll bridge the gap between AI research and application, translating innovative concepts into tangible, impactful features.

Key Responsibilities:

• Collaborate with cross-functional teams to design, develop, and implement AI features, focusing on areas like natural language processing, data analysis, and predictive modeling.

• Conduct research and rapid prototyping of the most suitable AI algorithms and techniques based on best practices, particularly those involving LLMs to address technical and business requirements.

• Write clean, well-tested, and well-documented code, contributing to efficient and maintainable system components.

• Contribute to the project's foundational knowledge by documenting the shared technical understanding and implementation details aligned with high-level business requirements and project goals.

Qualifications:

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence or a related field.

• You are a team player that enjoys collaborating and communicating with diverse groups.

• You enjoy tackling large challenges and enjoy discovering problems as much as solving them.

• You are able to problem solve and adapt to changing priorities in a fast-paced dynamic environment.

• Able to commit to a 6 months full time internship duration.

• This is a full work-from-office (WFO) internship.

Skills You’ll Need to Bring:

• You have built or prototyped features with AI technologies (LLMs, Embeddings, Fine-Tuning).

• You have experience in agentic frameworks (e.g., ADK, LangChain) for building LLM-powered applications.

• You have strong technical skills in Python.

• You are adept at optimizing, refactoring, and improving Python code, ensuring our systems are efficient, scalable, and maintainable

Nice to Haves:

• Hands-on experience with cloud platforms (GCP).

• Demonstrated interest in advanced AI topics such as Reinforcement Learning (RL).

• Familiarity with processing multi-modal data (audio and video).

• Familiarity with Agile development methodology and collaboration tools (e.g., JIRA) for task management and sprint planning.

About Cynapse

Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations. 

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.
The Role

We are seeking a hands-on Machine Learning Engineer Intern to join our Model Engineering Team with a focus on Computer Vision and modern AI. This role is designed for builders who are passionate about training deep learning models, refining architectures, and scaling real-world vision systems.

You will work closely with experienced engineers on production-grade models, ranging from standard object detectors to cutting-edge zero-shot and open-vocabulary architectures. This is an ideal role for those who enjoy running experiments, analysing model behaviour, and driving measurable performance improvements.

What You’ll Do

• Model Training & Fine-Tuning: Train, evaluate, and improve deep learning models across a variety of tasks, including classification, object detection, segmentation, and action recognition.
• Architecture & AI Exploration: Research and experiment with CNNs, Transformers, and Foundation Models. You will explore the integration of modern AI to enhance open-vocabulary detection and zero-shot capabilities.
• Failure Analysis & Data Refinement: Debug model failures (false positives/negatives) and implement solutions through targeted data annotation, cleaning, or improved inference strategies to ensure model robustness.
• Data & ML Engineering: Manage large-scale datasets, including preprocessing and versioning, to ensure high-fidelity and reproducible experiments.
• Pipeline Automation: Contribute to the development and optimization of automated training and evaluation pipelines to improve reliability and deployment efficiency.

Who This Role Is For

• Builders: You prefer hands-on engineering and practical implementation over purely theoretical research.
• Experimenters: You enjoy the iterative process of testing different architectures, hyperparameters, and datasets to maximize performance.
• Problem Solvers: You are curious about root causes and enjoy the "detective work" required for model debugging and data-driven improvements.
• Pragmatists: You are excited to see your models and automated systems successfully deployed in real-world production environments.

Requirements

• Pursuing or completed a degree in Computer Science, AI, Machine Learning, or a related technical field.
• Strong interest in deep learning model training, experimentation, and data-centric AI.
• Proficiency in Python and experience with PyTorch or TensorFlow.
• Competency in a Linux environment (SSH, shell scripting, and CLI-based file management).

Bonus Points

• Hands-on Experience: Previous work with specialized CV frameworks or comparing multiple architectures.
• Modern AI Knowledge: Familiarity with vision-language models or zero-shot detection.
• MLOps Tools: Experience with Git, Docker, or experiment tracking tools (e.g., Weights & Biases, MLflow).
• Video Processing: Knowledge of OpenCV, FFmpeg, or handling video streams.

Internship Details

• Duration: Minimum 6 months (flexible).
• Commitment: 4–5 days per week.
• Location: Singapore-based

Note: Kindly note that only shortlisted candidates will be notified.