Summary:

We are seeking an experienced AI Engineer specializing in Computer Vision to join our team. The ideal candidate will have a strong background in developing and deploying computer vision models for edge computing devices and cloud/server environments. Proficiency in Large Language Models (LLMs), Linux, Python, and Google Colab is essential. Experience with object detection models like YOLO and advanced image processing techniques is required.

Responsibilities:

Design, develop, and deploy computer vision facial and object recognition models for edge computing devices and cloud/server environments
Work with Large Language Models (LLMs) for various applications.
Optimize computer vision models for performance, accuracy, and efficiency.
Implement advanced image processing techniques for feature extraction, object detection, and classification
Design and develop RESTful APIs using Flask for model inference and integration with web services.
Work closely with frontend and other backend developers to integrate machine learning functionalities into web and mobile applications.
Utilize multithreading and asynchronous programming techniques for optimizing model inference speed and scalability.
Collaborate with cross-functional teams to gather requirements, analyze data, and develop solutions to complex problems.
Conduct experiments, evaluate model performance, and iterate on model designs to improve accuracy and efficiency.
Stay updated with the latest advancements in machine learning, computer vision, and deep learning technologies.
Provide technical guidance and mentorship to junior team members and contribute to knowledge sharing initiatives.

Requirements:

2-3 years of experience in computer vision applications
Proven experience deploying computer vision models on edge computing devices and cloud/servers
Extensive knowledge of Large Language Models (LLMs) and experience working with them
Strong proficiency in Linux, Python, and Google Colab
Experience with computer vision object detection models (e.g., YOLO, SSD, Faster R-CNN)
Advanced knowledge of image processing techniques (e.g., feature extraction, segmentation, tracking)
Excellent problem-solving skills and attention to detail
Strong communication and collaboration skills.
Familiarity with DevOps practices and version control systems (e.g., Git)
Experience with other AI frameworks and tools (e.g., TensorFlow, PyTorch, OpenCV)

Nice to Have:

- Knowledge of cloud computing platforms (e.g., OVH)

IRVINEi

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