Artificial Intelligence Engineer
ST Logistics Pte Ltd Clementi Full-time
Job Responsibilities/Key Tasks
- 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 processing
- Extract 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 analytics
- Implement data modelling best practices to support AI/ML applications, including schema design, partitioning strategies and indexing for performance optimisation
- Integrate diverse data sources (e.g. structured, semi-structured and unstructured) into unified data architectures that power AI-driven applications and insights
- Train 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 experiments
- Champion 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
- Minimum Bachelor Degree in AI, Computer Science or related areas
- Experience in a related work or project dealing with artificial intelligence
- Advanced understanding in software engineering practices (e.g. Version Control), containerization, CI/CD pipelines
- Experience with deploying models using frameworks like TensorFlow, PyTorch, and extremely familiar with platforms like Azure
- Advanced proficiency in SPARK, Python, Java, SQL, Pandas, Hugging Face, Open AI APIs
- Familiarity 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.
- 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 securely
- Entry level is welcome to apply
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