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Computer Vision Engineer

2 weeks ago

East Region, Singapore PERSOL Full time $90,000 - $120,000 per year

Required Skills and Qualifications:

  • 1+ years of experience in computer vision or related fields.
  • Expertise in NVIDIA DeepStream SDK for real-time video analytics and AI-based applications.
  • Hands-on experience with Apache Kafka for building real-time data pipelines.
  • Proficiency in OpenCV, GStreamer for image and video processing tasks.
  • Strong experience with C++, Python, and libraries/frameworks such asTensorFlow, PyTorch, or TensorRT for deploying AI models.
  • Understanding of video compression standards (H.264, H.265) and streaming protocols (RTSP, RTP, etc.).
  • Familiarity with Docker and Kubernetes for deploying scalable microservices in cloud environments.
  • Experience with Edge AI hardware like NVIDIA Jetson or similar platforms.
  • Solid understanding of parallel computing and GPU acceleration techniques (CUDA).
  • Strong problem-solving skills and ability to work in a fast-paced, collaborativeenvironment.

Preferred Skills:

  • Experience with YOLO, Faster R-CNN, or other object detection models.
  • Familiarity with message brokers and pub/sub systems like RabbitMQ or Google Pub/Sub.
  • Exposure to cloud services such as AWS, GCP, or Azure, particularly for real-time video analytics applications.
  • Familiarity with MLOps practices for model deployment and management.

Key Responsibilities:

  • Develop and optimize real-time computer vision applications for video analytics and edge AI solutions.
  • Design and implement data pipelines to handle high-volume, real-time video streams.
  • Build scalable, high-performance video processing pipelines with integration into cloud services or on-prem infrastructure.
  • Collaborate with machine learning engineers to deploy deep learning models for object detection, segmentation, tracking, and classification on live video feeds.
  • Ensure system performance, scalability, and robustness through optimization and efficient resource utilization.
  • Participate in the full software development lifecycle, from requirements gathering to deployment and maintenance.
  • Stay updated on the latest advancements in computer vision, machine learning, and deep learning technologies, incorporating them into the project roadmap.

We regret to inform that only shortlisted candidates will be notified.

This is in partnership with Employment and Employability Institute Pte Ltd ("e2i"). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i's PDPA.

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