Job Description

About UsHeadquartered and listed in Singapore, CapitaLand Investment Limited (CLI) is a leading global real asset manager with a strong Asia foothold. As at 30 June 2024, CLI had S$134 billion of assets under management, as well as S$100 billion of funds under management held via six listed real estate investment trusts and business trusts and a suite of private real asset vehicles that invest in thematic and tactical strategies. Its diversified real estate asset classes include retail, office, lodging, industrial, logistics, business parks, wellness, self-storage and data centres.You will be assisting the Data & AI team in their day-to-day operations and the development of new projects.ResponsibilitiesCollaborate with business analysts and internal stakeholders to identify business problems and opportunities, propose analytics solutions, and determine data and technology requirements for projectsDevelop project analytics solutions, including but not limited to report automation, advanced analytics, and AI enginesWork with data engineers to plan, identify, and integrate data from multiple source systems into the enterprise data platform for analytics purposesPerform data exploration, preprocessing, and analysis on both structured and unstructured dataDevelop and deploy machine learning and deep learning modelsCreate dashboards to communicate, present key findings to stakeholders and manage user acceptance testing (UAT)Collaborate with the team to prioritize and manage projects based on objectives and business impactDesign and build Generative AI applications like GPT-enabled chatbots to innovate and drive impactful solutions in the companyExplore new methodologies for increasing the efficiency and effectiveness of Generative AI applicationsContinuously evaluate and enhance the performance of Generative AI models through rigorous testing and experimentationPerform any other ad hoc duties as assignedRequirementsGood understanding of machine learning (e.g. Logistic Regressions, SVM, Decision Tree, Random Forest, lightGBM, XGBoost) and deep learning algorithms (e.g. CNN, RNN)Strong programming experience in python packages such as Pandas, Numpy, Scikit-learn, TensorFlow or KerasFamiliar with data visualisation tools (e.g. Power BI, Tableau, etc.)Good collaboration and communication skills to work effectively across teams, and partner with business stakeholdersBeneficial to possess knowledge or practical experience in generative AI or developing LLM applications using the Microsoft Azure stack or third-party packages such as LangChainDetail-oriented and meticulousClosing Statement:At CapitaLand, we advocate fair employment practices, and recruit talents based on merit and fit with our Corporate values. We provide equal opportunity for all qualified persons and build an inclusive workplace regardless of race, gender, age, religious belief or nationality.Only shortlisted candidates will be notified.

CapitaLand