Skills

Communication Python Version Control Selenium Problem-solving Attention to detail Linux Machine Learning Deep Learning Computer Vision Programming git Flask FastAPI Large Language Models OpenCV

Job Specifications

Summary:

We are seeking an experienced AI Engineer specializing in Computer Vision, LLMs and scrapping 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), multi agents systems, Linux, Python is essential.

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 specially multi agents systems.
Optimize computer vision models for performance, accuracy, and efficiency.
Implement advanced image processing techniques for feature extraction, object detection,pose estimation, segmentation and classification
Design and develop APIs using Flask and FastAPI for model inference and integration with web services.
Work closely with frontend and other backend developers to integrate machine learning functionalities.
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:

- 5+ 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 agents.

- Strong proficiency in Linux, Python, Flask & Fast APIs.

- 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 version control systems (e.g., Git)

- Experience with other AI frameworks and tools (e.g., CrewAI, Lagchain, OpenCV, Selenium etc)

About the Company

IRVINEi is an AI and IoT Hub with Edge Computing, for Your Home and Business giving you voice control over Security and smart devices and can be put as World's first Touch Screen Doorbell on the door. Know more