AI Engineer

Responsibilities End-to-End AI Model Optimization Support Responsible for model issue diagnosis, dataset construction, training, and testing of perception algorithms (2D/3D object detection, semantic segmentation, occupancy grid, etc.); Develop Python code for iterative model optimization and performance improvement with deep understanding of algorithm principles and characteristics. Large-Scale Data Engineering Development Design and build efficient data processing pipelines for multi-step cleaning, transformation, annotation, and feature engineering of massive raw data; Ensure data quality and consistency to support high-speed data supply demands for algorithm R&D. Algorithm Engineering & System Development Systematize and platformize data engineering workflows and algorithm optimization processes, participating in toolchain and system module development; Drive standardized deployment and engineering implementation of AI data engineering capabilities to improve overall team R&D efficiency. Responsible for the system design and development of AI data engineering Agents, building intelligent and automated data processing capabilities. Requirements Education: Master's degree or above in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or related fields; Programming: Proficient in Python with solid coding standards, engineering practices, and debugging capabilities; AI Agent Capabilities: Familiar with AI Agent usage and development with deep understanding of Agent working principles; capable of effectively leveraging Agent tools to improve work efficiency, with the ability to independently design and develop Agent systems, including capability planning, framework design, and engineering implementation; Algorithm Understanding: Familiar with at least one type of computer vision/perception algorithm (2D/3D object detection, semantic segmentation, occupancy grid, etc.), with the ability to understand model principles, training workflows, and performance evaluation metrics; Data Engineering: Experience in large-scale data processing; familiarity with data cleaning, ETL processes, batch processing frameworks (e.g., Spark/Flink), or efficient data processing tools is preferred; Engineering Mindset: Capable of abstracting algorithm and data workflows into reusable engineering modules with systematic development thinking; Preferred: Experience in autonomous driving, robotics, or visual perception fields; familiarity with model training frameworks (e.g., PyTorch), distributed training, or MLOps workflows is a plus. Please noted this role is open to global candidates but, Conversational level Chinese Speaking is needed to liase with Mandarin speaking stakeholders. TRULYYY PTE. LTD. Senior Consultant Yang Suyu EA License No: 20S0118 EA Registration Number: R2199541