AI Engineer for AI Singapore

3 weeks ago

Singapore NATIONAL UNIVERSITY OF SINGAPORE Full time
Roles & Responsibilities

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processes only if you apply via NUS Career Portal.


We regret that only shortlisted candidates will be notified.

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

1. Develop new and re-iterate on existing software and system applications using software engineering best practices and AI technologies
2. Perform the necessary data preparation and analysis, AI modelling, coding, testing, validation and deployment to ensure reliable and scalable AI solution
3. Collaborate with cross-functional teams within AI Products to design and resolve issues
4. Utilise problem-solving skills to address and resolve user issues, with a focus on empathy
5. Maintain code repository and documentation standards
6. Contribute to community engagement activities such as sharing via technical session meet-ups and article write-ups, and participating in discussion forums
7. Self-learn and experiment with new frameworks and technologies when necessary

Qualifications

1. Degree in computer science, machine learning, AI, and other relevant equivalent quantitative fields
2. Experience in writing production level code in Python and/or C++
3. Strong background in other programming languages, especially in web application development, will be advantageous
4. Experience in AI/Machine learning frameworks such as Tensorflow and Pytorch
5. Experience in using deployment tools such as Docker
6. Previous experience in deployment on cloud platforms (AWS/GCP/Azure) and/or edge devices will be advantageous
7. Previous working experience in Large Language Models will be advantageous
8. Previous working experience with Agile methodologies will be advantageous
9. Data story-telling, information visualisation/UX and technical writing skills


Tell employers what skills you have

TensorFlow
Machine Learning
Technical Writing
Artificial Intelligence
Software Engineering
Agile Methodologies
Python
Docker
Web Application Development
Technical Leadership

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