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Open nowPosted 24 days ago

AI Engineer (Computer Vision)

MyCareersFuture94,028 open roles

Pay
SGD 5,000 – SGD 7,000 a month
Where
West, Singapore
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Your applicationOpen nowAI Engineer (Computer Vision)MyCareersFuture · West, Singapore

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This job: posted 24 days ago

The posting

*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 LLMintegration
  • Strong programming skills in Python, Java and C++, withexperience and GPU-accelerated computing using CUDA andTensorRT
  • Knowledge of edge computing platforms and hardwareaccelerators such as x86, NVIDIA Jetson, Google Coral and ARM Cortex
  • Ability to thrive in a fast-paced development environmentand adapt to changing requirements with perseverance and initiative
  • Strong problem-solving capabilities with the ability totranslate complex business needs into effective technical solutions
  • Excellent communication and interpersonal skills, with astrong 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
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