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Urgent! Full Stack Engineer (AI & Data) Job Opening In Singapore, Singapore – Now Hiring National University of Singapore
Job Description
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 all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.
The candidate will join a team of AI scientists, apprentices, data and software engineers.
With the team, he or she 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
National University of Singapore.
All Rights Reserved.
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Unlock Your Full Stack Potential: Insight & Career Growth Guide
Real-time Full Stack Jobs Trends in Singapore, Singapore (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Full Stack in Singapore, Singapore using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 2682 jobs in Singapore and 2381 jobs in Singapore. This comprehensive analysis highlights market share and opportunities for professionals in Full Stack roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! National University of Singapore is currently hiring and seeking a Full Stack Engineer (AI & Data) to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Full Stack Engineer (AI & Data) Jobs Singapore.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at National University of Singapore adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Full Stack Engineer (AI & Data) Jobs Singapore varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Full Stack Engineer (AI & Data) typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Full Stack Engineer (AI & Data) interview at National University of Singapore, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the National University of Singapore's products or services and be prepared to discuss how you can contribute to their success.
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