Software Engineer (AI / ML & Full-Stack Development)
Location: CleanTech One
Time Type: Full time
Job Description
Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.
We are looking for a software engineer to develop and maintain scalable software applications with a focus on AI, machine learning, and full-stack development, supporting the deployment of intelligent, data-driven solutions that are reliable, efficient, and user-focused.
Key Responsibilities:
Design, develop, and maintain scalable backend and frontend applications for AI and data-driven platforms
Develop and maintain web applications using Python, Flask, React.js, and related frameworks
Implement clean, modular, and maintainable code following best practices
Manage CI/CD pipelines and automated deployments using tools such as Azure DevOps
Work with databases to design schemas, write efficient queries, and support data pipelines
Participate in testing, monitoring, and performance optimization of applications
Collaborate with cross-functional teams to translate requirements into technical solutions
Support experimentation, model evaluation, and continuous improvement of AI solutions
.
Job Requirements:
Bachelor’s degree in Computer Science, Information Technology, or a related field
Experience in software development, AI, or full-stack roles
Strong proficiency in Python and experience with AI/ML frameworks such as TensorFlow or Scikit-learn
Experience with web development using React.js, Flask, HTML, CSS, and JavaScript
Familiarity with databases such as MySQL or MongoDB
Knowledge of CI/CD pipelines, Git, and modern development workflows
Strong learning mindset, communication skills, and attention to code quality
We regret to inform that only shortlisted candidates will be notified.
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