Developer Intern

PointStar; Johor Bahru; On-site; MYR 8,900 - 13,000; Part time

Job summary

PointStar is seeking a passionate Developer Intern in Malaysia to build AI-powered internal applications using open-source tech. You will collaborate with product managers and developers to design, build, and deploy innovative solutions with the aim of commercializing them.

You will explore AI model integration, contribute to open-source projects, and follow best coding practices while documenting architecture and APIs for future reference.

Qualifications

• Currently pursuing or recently completed a degree in Computer Science, Engineering, or a related field.
• Willing to join for a minimum of 6 months with commitment.
• Basic understanding of machine learning principles and AI algorithms.
• Familiarity with open-source software development and related tools (e.g., Git, GitHub).
• Exposure to popular machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn.
• Experience in building and deploying web applications.
• Exposure to cloud platforms like AWS, Azure, or Google Cloud.
• Familiarity with containers (Docker, Kubernetes) and CI/CD pipelines.
• Knowledge of natural language processing (NLP), computer vision, or other specialised AI areas.
• Contribution to open-source projects or personal AI projects.

Responsibilities

• Develop AI-powered Applications: Design, develop, and deploy AI-driven apps to streamline internal workflows and potential products.
• Open Source Contribution: Use open-source frameworks and libraries to build scalable code.
• Collaborate with Teams: Work with product managers and developers to translate business needs into technical solutions.
• Prototype and Experiment: Rapid prototyping, testing, and iteration based on feedback.
• AI Model Integration: Implement and fine-tune ML models for real-world use with performance and scalability.
• Code Review & Best Practices: Follow coding standards and contribute to process improvements.
• Documentation: Document development processes, architecture, and APIs clearly.

Skills

Problem-solving

Teamwork

Independent work

Willingness to learn

Critical thinking

Education

BSc in Computer Science / Engineering

Tools

Git & GitHub

Docker

Kubernetes

CI/CD

TensorFlow / PyTorch

Job description

We are seeking a passionate and driven Developer Intern to join our team. In this role, you will focus on creating innovative internal applications using AI and open-source technologies. These applications will improve internal processes and be developed with the intent to be marketed as products. The intern will work closely with product managers to design, build, and implement solutions using the latest tools and technologies in the AI space.

Responsibilities

• Develop AI-powered Applications: Contribute to designing, developing, and deploying AI-driven apps that streamline internal workflows and offer potential as commercial products.
• Open Source Contribution: Actively use open-source frameworks and libraries to build solutions, ensuring high-quality, scalable, and maintainable code.
• Collaborate with Teams: Work closely with internal stakeholders, including product managers and other developers, to understand business needs and translate them into technical solutions.
• Prototype and Experiment: Participate in rapid prototyping, testing, and iterating on new ideas based on feedback.
• AI Model Integration: Implement and fine-tune machine learning models for real-world applications, ensuring they are optimised for performance and scalability.
• Code Review & Best Practices: Engage in code reviews, follow best practices for coding standards, and contribute to improving development processes.
• Documentation: Document your work, including development processes, system architecture, and APIs, clearly and concisely.

Qualifications

Experience:

• Currently pursuing or recently completed a degree in Computer Science, Engineering, or a related field.
• Willing to join for a minimum of 6 months with commitment.
• Basic understanding of machine learning principles and AI algorithms.
• Familiarity with open-source software development and related tools (e.g., Git, GitHub).
• Exposure to popular machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn.
• Strong problem-solving skills and ability to think critically about business needs.
• Willingness to learn new technologies and tools quickly.
• Ability to work independently and as part of a collaborative team.
• Experience in building and deploying web applications.
• Exposure to cloud platforms like AWS, Azure, or Google Cloud.
• Familiarity with containers (Docker, Kubernetes) and continuous integration (CI/CD) pipelines.
• Knowledge of natural language processing (NLP), computer vision, or other specialised AI areas.
• Contribution to open-source projects or personal AI projects.