AI Engineer (Computer Vision)

PC Partner Technology Pte Limited; Singapore; On-site; SGD 60,000 - 110,000; Full time

Job summary

PC Partner Technology Pte Limited is building a team of AI Engineers to design and deploy advanced AI solutions. You will select AI models, build data pipelines for model training and deployment, and collaborate with cross-functional teams to deliver AI technologies with strong technical excellence.

You will develop LLM-powered chatbots with RAG, create CV processing pipelines, and optimize models for production use, contributing to impactful, real-world applications.

Qualifications

• Education: degree in CS/CE/DS/AI or related fields.
• At least 1 year of experience designing, developing and deploying CV models and RAG in real-world apps.
• Hands-on experience with OpenCV, Vision Transformers, CLIPS and modern CV models.
• Experience with Retrieval-Augmented Generation (RAG) including embeddings, vector databases, semantic search and LLM integration.
• Strong programming skills in Python, Java and C++, with GPU-accelerated computing (CUDA/TensorRT).
• Knowledge of edge computing platforms and accelerators (x86, NVIDIA Jetson, Google Coral, ARM Cortex).
• Ability to thrive in a fast-paced development environment with initiative.
• Strong problem-solving and translating business needs into technical solutions.
• Excellent communication and collaboration across cross-functional teams.
• Fluency in Chinese is a plus for interactions with Chinese-speaking stakeholders.
• Legal eligibility to work in Singapore without sponsorship.

Responsibilities

• Research, evaluate, optimise and fine-tune ML models for accuracy and efficiency.
• Design end-to-end computer vision solution architectures and deployment workflows.
• Develop, validate and optimise CV algorithms for real-world applications.
• Develop LLM-powered chatbot solutions with semantic search and RAG integration.
• Improve object detection, segmentation, pose estimation, feature extraction and classification models.
• Monitor deployed CV models and implement updates for performance.
• Perform data analysis and communicate insights with statistics and visualisations.
• Collaborate with cross-functional teams to integrate CV solutions into products and support deployment.

Skills

Python

Java

C++

OpenCV

Vision Transformers

LLM integration

CUDA

TensorRT

RAG

semantic search

Education

Bachelor's degree in Computer Science/Engineering/Data Science/AI or related field

Tools

NVIDIA Jetson

vector databases

edge devices

Job description

*For Singapore Applicants Only: PC Partner Technology Pte Limited will be prioritising applicants who have a current right to work in Singapore, and do not require PC Partner Technology Pte Limited's sponsorship of a visa.

Overview

PC Partner is a leading manufacturer of computer electronics. Our key products are video graphics cards, motherboards and mini-PCs. We are also offering one-stop electronic manufacturing services to reputable brands all over the world. As one of the leaders in the industry, we leverage our extraordinary research and development capabilities and state-of-the art production facilities to constantly bring new product ideas and leading-edge innovations to the market. We endeavour to stay ahead of the industry to ensure success and competitiveness in serving the needs of our customers.

Position Summary

We are building a team of AI Engineers to drive the design and deployment of advanced AI solutions. The role involves selecting and implementing optimal AI models, as well as building data engineering pipelines to support machine learning model training, evaluation and deployment. You will collaborate closely with cross-functional teams to innovate, execute and deliver AI technologies, ensuring project success through strong technical expertise, effective teamwork and clear communication.

Key Responsibilities

• Research, evaluate, optimise and fine-tune machine learning models to maximise accuracy, efficiency and inference performance.
• Design and implement end-to-end computer vision solution architectures, processing pipelines and deployment workflows.
• Develop, validate and optimise advanced computer vision algorithms for real-world applications.
• Develop LLM-powered chatbot solutions incorporating semantic search and Retrieval-Augmented Generation (RAG) to enable natural language interaction with visual and textual knowledge bases.
• Develop and continuously improve object detection, image segmentation, pose estimation, feature extraction and image classification models.
• Monitor the performance of deployed computer vision models, identify performance degradation or anomalies and implement corrective actions and model updates.
• Perform data analysis, interpret experimental results and communicate actionable insights using statistical methods, and data visualisations.
• Collaborate with cross-functional teams to gather requirements, integrate computer vision solutions into products and support production deployment and ongoing maintenance.

Requirements

• Minimum Degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence or related fields.
• Minimum 1 year of relevant experience in designing, developing and deploying computer vision models, and RAG in real-world applications.
• Good hands-on experience on OpenCV, Vision Transformers, CLIPS and modern computer vision models.
• Good hands-on experience with Retrieval-Augmented Generation (RAG), including embeddings, vector databases, semantic search and LLM integration.
• Strong programming skills in Python, Java and C++, with experience and GPU-accelerated computing using CUDA and TensorRT.
• Knowledge of edge computing platforms and hardware accelerators such as x86, NVIDIA Jetson, Google Coral and ARM Cortex.
• Ability to thrive in a fast-paced development environment and adapt to changing requirements with perseverance and initiative.
• Strong problem-solving capabilities with the ability to translate complex business needs into effective technical solutions.
• Excellent communication and interpersonal skills, with a strong ability to collaborate across cross-functional teams.
• Fluency in Chinese is a plus for effective interaction with Chinese-speaking stakeholders.
• Candidates must meet legal requirements to work in Singapore without sponsorship.