Manager/Senior Manager (Data, Analytics and AI)

Singapore 17 days agoFull-time External
40.9k - 51.8k / mo
Job Responsibilities Design and optimise scalable data workflows with subject matter expertise in data loading patterns, data architecture etc. Develop and maintain robust data pipelines that support both real-time and batch processingExtract and integrate data from various sources, developing and scaling models in real-time business conditions. This includes interfacing (via API) between the data layer and application layer. Leverage on SQL to ensure efficient data transformation and analyticsImplement data modelling best practices to support AI/ML applications, including schema design, partitioning strategies and indexing for performance optimisationIntegrate diverse data sources (e.g. structured, semi-structured and unstructured) into unified data architectures that power AI-driven applications and insightsTrain advanced models and algorithms suitable for business use – Models include computer vision models, forecasting models, route optimisation etc. Work as a team to ensure data readiness, feature engineering pipelines and reproducibility of experimentsChampion data quality and governance by implementing validation, lineage tracking, and compliance standards Serve as data engineer, software engineer, cloud engineer and AI scientist all-in-one Job Requirements Min. Bachelor Degree in Engineering, Economics, Mathematics, Computer Science or related areasMinimum 8 to 10 years of work experience in a related role dealing with dataFamiliarity with data manipulation, statistical analysis and machine learning theories. This includes extracting and integration of data from various sources, developing and scaling models in real-time business conditions. This includes interfacing (via API) between the data layer and application layer. Understanding of software engineering practices (e.g. Version Control), containerization, CI/CD pipelinesExperience with deploying models using frameworks like TensorFlow, PyTorch, and extremely familiar with platforms like Azure, Databricks, Fabric Advanced proficiency in SPARK, Python, Java, SQL, Pandas, Hugging Face, Open AI APIs Advanced proficiency with both full stack software engineering and data engineering with solid experience with working with Azure etc. Familiar with data ethics and governance including best practices on how data should be managed securelyWork location : 60 pioneer Road, Tuas