Ai Engineer (Aiap) For Ai Singapore (Innovation)

OverviewAI Engineer (AIAP) for AI Singapore (Innovation) – National University of SingaporeLocation : Kent Ridge CampusOrganization : Office of the Deputy President(Res&Tech)Department : AI SingaporeEmployee Referral Eligible : NoJob requisition ID : 30443Be careful - Don't provide your bank or credit card details when applying for jobs.

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If you see something suspicious, report this job ad.Duties and ResponsibilitiesDrive 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.Support AI Singapore's industry and community-building activities by contributing to talks, seminars, workshops, journals and other outreach programmes.QualificationsDegree 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 storytelling, 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.More InformationLocation : Kent Ridge CampusOrganization : Office of the Deputy President(Res&Tech)Department : AI SingaporeEmployee Referral Eligible : NoJob requisition ID : 30443

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