Computer Vision Engineer (ML Engineer) | Contract | Up to $8k | Changi
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 as TensorFlow, 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, collaborative environment.
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 optimisation and efficient resource utilisation.
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.
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