AI Engineer - Computer Vision

Our client is a tech giant specialised in Consumer Electronics. They are looking for an AI Data Algorithm Engineer with Prior exposure in Computer Vision to join their R&D team in Singapore.

Responsibilities

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 optimisation and performance improvement with deep understanding of algorithm principles and characteristics.

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

Systematise and platformise data engineering workflows and algorithm optimisation processes, participating in toolchain and system module development;

Drive standardised 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.

Regrettably, only shortlisted candidates will be notified.

Please note that Data provided is for recruitment purposes only.

Business Registration No. - 202004228R | License. No. - 20S0118 | EA Registration No. - R23112762

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