Artificial intelligence Developer

Artificial Intelligence Developer

Job Responsibilities/Key Tasks

• Design and optimize 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 optimization

• 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

Job Requirements

• Min. Bachelor Degree in Engineering, Economics, Mathematics, Computer Science or related areas

• Minimum 5-8 years of work experience in a related role 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