Full Stack Engineer

1 day 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 : 29971Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Higher Education, Education Administration Programs, and Strategic Management Services Referrals increase your chances of interviewing at National University of Singapore by 2x #J-18808-Ljbffr

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