AI & Machine Learning: support the development, testing, and enhancement of AI and machine learning models to address business and risk management challenges
Lead the Data, Analytics and AI Section to turn Air Selangor’s strategic priorities, regulatory needs and critical business problems into deployed solutions with sustained adoption and measurable outcomes. Lead through the Heads of Data, Science and Data Engineering, working with business owners and partners as part of an integrated Information Technology Department.
Act as the custodian of the Group's Operating COA and Group COA, ensuring integrity, consistency and adherence to Group accounting and reporting requirements.
Provide deep technical expertise in analytics, search, streaming, and governance (Redshift, Athena, EMR, Glue, Kinesis, MSK, OpenSearch, Lake Formation, DataZone, SageMaker Unified Studio, S3 Tables, QuickSight) across ASEAN's enterprise, public sector, and digital-native customers
Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience.
Provide deep technical expertise in analytics, search, streaming, and governance (Redshift, Athena, EMR, Glue, Kinesis, MSK, OpenSearch, Lake Formation, DataZone, SageMaker Unified Studio, S3 Tables, QuickSight) across ASEAN's enterprise, public sector, and digital-native customers
Lead the architecture, design, and implementation of advanced analytics solutions using Azure Databricks/ Fabric. The ideal candidate will have a deep understanding of big data technologies, data engineering, and cloud computing, with a strong focus on Azure Databricks along with Strong SQL.
Anomaly & Risk Discovery: Develop advanced methods to detect anomalies, outliers and risk signals across tabular, time-series, text, image data, applying techniques such as supervised, unsupervised and self-supervised learning, time-series and tabular foundation models, and graph neural networks.
Conduct full-time and part-time teaching in areas related to Data Analytics, Artificial Intelligence (AI), Machine Learning, Data Engineering, Data Management, and foundational ICT modules.