AI Engineer

Interested applicants are invited to apply directly at the NUS Career Portal Your application will be processed 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 AI Apprenticeship Programme (AIAP), which is a flagship programme launched by AISG, aims to groom local AI talent and enhance their career with AI‐related skills. Apprentices in the programme will first undergo 2 months of deep‐skilling, followed by 7 months of executing real‐world projects. Since its launch, there have been 18 batches of apprentices who have embarked on this award‐winning programme. The AIAP team is looking for a driven AI Engineer to be instrumental in executing our programmes as well as leading AI‐based projects for both internal and external stakeholders. This role will also spearhead innovative initiatives, including the development of cutting‐edge AI technologies. You will join a passionate team dedicated to nurturing AI talent and play a key part in driving the growth of Singapore's AI sector. Duties and Responsibilities Drive and work on the tasks stemming from AIAP and other AIAP‐related programmes, including AIAP (Industry), LADP and AIIP. Perform AI‐based research, development and maintenance of AIAP Technologies. Lead the solution development for AI‐based projects, including AI projects from AIEH and internal developments. Train and mentor AI apprentices during the Deep‐skilling and Project phase, and other umbrella programmes. Plan, prepare and execute the AIAP recruitment stages. Maintain, update and enhance the AIAP syllabus. Plan, prepare and execute the AIAP recruitment stages. Support AI Singapore’s industry and community‐building activities by contributing to talks, seminars, workshops, journals and other outreach programmes. Qualifications Degree in a field with a quantitative focus (computer science, information systems, data science, statistics, mathematics, physics, engineering, operations research, econometrics or others). At least 2 years of hands‐on experience developing AI/ML solutions in a corporate or research setting. Solutions that have been deployed into production will be viewed favourably, especially if the candidate assisted in the integration and testing. Candidates with experience in Generative AI and Large Language Models (Prompt Engineering and Fine‐tuning) will be highly considered. Solid understanding of machine learning/deep learning fundamentals. Able to appreciate and explain the mathematical workings of common algorithms for computer vision/NLP/tabular data. Hands‐on skills in Python‐based AI/ML frameworks, specifically LangChain, LlamaIndex, TensorFlow, PyTorch, Keras, and scikit‐learn, with a demonstrated ability to adhere to clean coding principles. Experience working with software development tools such as Git and Docker. Prior exposure to Linux environments and CI/CD processes is an advantage. Familiarity with MLOps toolkits for productivity, tracking and reproducibility is a bonus. Aptitude for data story‐telling, visualisation and technical communications. Able to abstract and convey technical concepts to non‐technical audiences well. Team player with a keen interest in mentoring and collaborative problem‐solving. Self‐learner with a strong sense of curiosity and attention to detail. #J-18808-Ljbffr