Total 5 Internship test engineer job vacancies in George Town

[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).

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.

LAI Games is an arcade experience company that connects people with games. Our vision is to reinvent the arcade industry by creating an arcade experience ecosystem that consists of physical arcade games and location-based VR games and experiences, and other exciting arcade-based titles. Our team members contribute across a broad range of unique and innovative projects that connect, engage, and excite players across physical and virtual worlds. 

Position Summary

LAI games is growing, and we want to expand our support to our customers by offering remote software management of our games, and we want to provide our customers with comprehensive use-data of our games. 

We want to expand our software team for this, and we’re looking for an experienced software engineering manager to realize this ambition.  

Key Responsibilities

As a Fullstack Software Engineering Intern, you'll work alongside experienced engineers to develop enterprise-grade software while building practical skills in modern web development and system integration.

• Learn and contribute – Write clean, maintainable code under mentorship, following established best practices and team standards 
• Take ownership of features – Own the features that you develop, with guidance from senior engineers
• Participate in architecture discussions, ensuring scalability, maintainability and performance.
• Collaborate with cross-functional teams including frontend engineers, product managers, QAs and other engineers to deliver high-impact features 
• Collaborate with teams – Work with frontend engineers, product managers, QAs and other engineers to understand the full software development lifecycle
• Document your work - Maintain clear documentation of code, processes, and technical decisions
• Review and interpret third-party API/SDK documentation, creating POCs and reference implementations

Required Skills and Experience

The ideal candidate would have:

• Currently pursuing or recently completed a Bachelor's degree in Computer Science, Software Engineering, or a related field
• Basic programming fundamentals - Understanding of data structures, algorithms, and object-oriented programming
• Exposure to Python - Academic or personal project experience with Python (Flask/FastAPI exposure is a plus)
• Frontend fundamentals - Working knowledge of HTML5, CSS3, and JavaScript; any experience with React or similar frameworks is beneficial
• Database basics - Understanding of relational databases (MySQL, Postgres) and basic SQL queries
• Problem-solving mindset - Ability to break down problems, ask good questions, and work through challenges with support
• Communication skills - Ability to articulate technical concepts and ask for help when needed
• Team player - Willingness to learn, accept feedback, and collaborate effectively 

Additional Attributes: 

• Personal or academic projects demonstrating full-stack development
• Familiarity with Git/version control 

What You'll Learn: 

• Production-level software development practices
• API design and integration patterns
• Working with enterprise-grade codebases
• Collaborating in cross-functional teams
• Modern development tools and workflows 

Based inSingapore, the QA Engineer (Intern) is responsible for ensuring the web &mobile applications are robust, conform to specifications, void of bugs, and usableto the end users.

What will you do

• Work closely with the software engineering team to ensure high quality across web and mobile applications.
• Develop, document, and execute comprehensive manual and automated test cases based on project requirements.
• Identify, record, and track bugs using industry-standard tools.
• Participate in design sessions and technical discussions to advocate for quality early in the development cycle.
• Assist in maintaining andextending our automation test suites (Selenium,Playwright, or similar).

What do we expect

• Currently pursuing adegree / diploma in Computer Science, Software Engineering, or a related technical field.
• Exposure to or interest in software testing methodologies and bug-tracking workflows.
• Basic proficiency in at least one programming language: Python, Java, TypeScript, or JavaScript.
• Familiarity with web technologies (HTML/CSS) and a curiosity about mobile app testing.
• A sharp eye for detail and a logical approach to problem-solving.
• Self-motivated, eagerto learn, and comfortable working in a fast-paced environment.