
[lta-tro] Snr/exec Full Stack Ai Developer
5 days ago
[What the role is]
SENIOR/EXECUTIVE FULL STACK AI DEVELOPER (INTELLIGENT TRANSPORT SYSTEMS DEVELOPMENT)
[What you will be working on]
You will be part of a dynamic team to drive adoption of new Artificial Intelligence (AI) and Machine Learning (ML) technologies in LTA through the design, development, testing and deployment of prototypes, proof of concepts, minimum viable products (MVPs) and tools that leverage the latest technologies, to solve Traffic, Roads and Operations challenges.
Your role will encompass:
- Create prototypes, proof of concepts and minimum viable products
(MVPs) showcasing new AI capabilities applied to Traffic, Roads and
Operations domain.
- Establish, setup and administrate the technology stack architecture
including CI/CD pipeline to allow building and deployment of end-to-end
including front-end and back-end components, to deliver user-friendly and
performant solutions.
- Collaborate closely with cross-functional teams, including data scientists,
NLP engineers, software developers, and domain experts, to ensure
successful project outcomes.
- Engage users on a regular basis in an iterative process to fine tune and
- Evaluate and propose new technologies adoption to support new
challenges, create best practices and knowledge sharing.
[What we are looking for]
- Tertiary Qualification in IT, Computer Science, Computer Engineering or
related discipline.
JavaScript and frameworks such as React, Angular, Node.js, Streamlit.
- At least 3 years of experience in DevOps tools and practices with Agile
software development methodology and version control systems like Git.
Oracle database, MongoDB) and web servers (e.g. Apache) deployment.
- Good understanding of Natural language Processing, Large Language
Models, Conversational AI, Computer Vision and Machine Learning
- Independent and self-motivated contributor and passionate to explore new
technologies.
- Strong analytical, problem solving and questioning skills.
- Strong teamwork skills and able to collaborate in cross-functional team.
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