Artificial Intelligence (AI) Engineer

• Collaborate with cross-functional teams to define technical specifications for AI-driven software solutions.

• Build and maintain robust, scalable data pipelines to support machine learning and AI model training.

• Design and manage data architectures that enable efficient and reliable AI workflows.

• Prepare, clean, and integrate large datasets design and implement vector databases to support training and inference of machine learning models.

• Design and develop AI models and APIs, integrating them seamlessly into both application software and embedded hardware systems.

• Review codes developed by team members, driving continuous improvement of AI models through algorithm refinement, code optimisation, and stakeholder feedback.

• Develop comprehensive test cases conduct rigorous testing, debugging and bug fixing to ensure high quality, performance and system reliability.

• Train, evaluate and fine-tune machine learning models to achieve optimal efficiency and low latency.

• Implement MLOps best practices to manage the end-to-end software and machine learning lifecycle, including version control, CI/CD pipelines, and documentation.

• Collaborate with project leaders to plan, execute, monitor, and deliver multiple projects using Agile methodologies.

• Work closely with project teams to deploy machine learning models into production environments and support post-deployment operations.

• Analyse data to extract meaningful insights and present results to stakeholders to support product and business decisions.

• Conduct research and collaborate with external stakeholders to stay up to date with the latest AI technologies and industry standards, continuously enhancing development and evaluation processes.

Requirements

• Min. Degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence or related fields.

• Min. 2 years of relevant experience in a similar role, with hands-on experience in designing, developing and deploying machine learning in real-world applications.

• Proficient in machine learning frameworks and libraries such as TensorFlow and PyTorch, particularly for computer vision tasks including object detection, classification and tracking.

• Familiarity with relational database management systems (RDBMS) such as PostgreSQL and Microsoft SQL Server, as well as experience with vector databases.

• Experience in application software development across multiple platforms including Windows, Linux, mobile operating systems (iOS, Android) and embedded systems.

• Strong programming skills in Python, Java and C++, with experience in GPU-accelerated computing using CUDA and TensorRT.

• Knowledge of edge computing platforms and hardware accelerators such as NVIDIA Jetson, Google Coral, and ARM Cortex.

• Fluency in Chinese is a plus for effective interaction with Chinese-speaking stakeholders.

• Candidates must meet legal requirements to work in Singapore without sponsorship.