Full Stack Engineer

1 week ago

Singapore National University of Singapore Full time

Overview
Full Stack Engineer (AI & Data) for AI Singapore (Products) role at National University of Singapore. AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI). The programme office is hosted by the National University of Singapore (NUS) and brings together Singapore-based research institutions and the AI ecosystem to perform use-inspired research, grow knowledge, create tools, and develop talent to power Singapore's AI efforts.
The candidate will join a team of AI scientists, apprentices, data and software engineers. The team will experiment and build AI solutions that can help Singapore companies improve their businesses using AI. A more senior candidate is expected to provide technical leadership, engage stakeholders, mentor and guide junior engineers in the projects.
Duties And Responsibilities
Develop new and re-iterate on existing web/system applications using software engineering best practices and AI technologies
Build scalable data pipelines and workflows for GenAI applications and LLM research
Implement ETL (Extract, Transform, Load) processes to integrate, clean and transform data for analytics and model training
Maintain data quality, security, and governance standards across all data-related activities
Collaborate with cross-functional teams to design and resolve issues
Utilise problem-solving skills to address and resolve user issues, with a focus on empathy
Maintain code repository and documentation standards
Contribute to community engagement activities such as sharing via technical session meetups and article write-ups, and participating in discussion forums
Self-learn, experiment and evaluate new technical frameworks and technologies
Qualifications
Degree in computer science, machine learning, AI, and other relevant equivalent quantitative fields
Experience in writing production level code in Python
Strong background in data engineering, big data management, data modeling and warehousing
Strong background in other programming languages, especially in web application development, will be advantageous
Experience with SQL databases (e.g. PostgreSQL) and NoSQL databases (e.g. DynamoDB)
Experience in using deployment tools such as Docker
Previous experience in deployment on cloud platforms (AWS/GCP/Azure) and/or edge devices will be advantageous
Previous working experience in Large Language Models will be advantageous
Previous working experience with Agile methodologies will be advantageous
Data storytelling, information visualisation/UX and technical writing skills
Candidates with an active GitHub profile demonstrating relevant projects are strongly preferred
More Information
Location: Kent Ridge Campus
Organization: Office of the Deputy President(Res&Tech)
Department : AI Singapore
Employee Referral Eligible: No
Job requisition ID : 29971
Seniority level
Not Applicable
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Higher Education, Education Administration Programs, and Strategic Management Services
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