Senior AI Engineer

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).