Internship Period: from May2025 (Minimum 5-months commitment required).
AI Engineer
Summary
Assist in developing AI-powered applications and machine learning models for real-world solutions in security, logistics, and smart cities. Work on API design, model optimization, and integration of AI capabilities into products. Ideal candidates have a basic understanding of ML concepts, curiosity about emerging technologies (e.g., LLMs), write clean code, and thrive in collaborative, fast-changing environments.
What You'll Do
- Build and enhance AI-powered applications to solve real-world challenges across industries such as security, logistics, and smart cities.
- Collaborate with cross-functional teams to integrate AI capabilities into products and workflows, ensuring smooth deployment.
- Develop and optimise machine learning models using frameworks like TensorFlow, PyTorch, or scikit-learn, focusing on performance, scalability, and efficiency.
- Design and implement AI-driven APIs and microservices for scalable, real-time solutions.
- Experiment with cutting-edge AI tools and frameworks to continuously improve and innovate.
- Stay up to date on emerging AI trends, research, and best practices, and share insights with the team.
What You'll Bring
- Students pursuing Bachelor Degree of Computer Science/ Information Technology with interest or major in AI/ML & GenAI, Smart Cities, Design & Artificial Intelligence
- Demonstrate basic understanding of ML concepts, providing a foundation for building and improving AI-powered solutions.
- Curiosity about emerging technologies, such as transformer architectures and large language models (LLMs), actively seeking to learn and explore new developments in the field.
- Write simple and clean code, ensuring readability and maintainability in all technical contributions.
- Team-oriented and open to learning from mentors.
- Proactive, adaptable, and comfortable in fast-changing environments.
