AI Model Developer

21 hours ago

Pune, Maharashtra, India beBeeComputerVision Full time ₹ 15,00,000 - ₹ 20,00,000

Job Title: Computer Vision Specialist

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This is a specialized role for an expert in computer vision to join our team and contribute to the development of innovative solutions.

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The ideal candidate will have a strong foundation in deep learning, image processing and be able to develop, optimize and deploy computer vision models tailored to real-world customer problems.

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The selected individual will collaborate closely with research teams to transform cutting-edge computer vision algorithms into production-ready solutions.

">Main Responsibilities:">
  1. ">
  2. Develop, evaluate and optimize computer vision and deep learning models for diverse real-world applications such as object detection, semantic segmentation and key-point detection.">
  3. Take end-to-end ownership of computer vision solutions, ensuring they meet customer requirements and performance benchmarks.">
  4. Deploy optimized computer vision models onto edge devices balancing computational efficiency and accuracy to meet resource constraints.">
  5. Maintain and continuously improve deployed models based on customer feedback and evolving requirements.">
  6. Develop scalable and efficient data handling and machine learning pipelines for model training, validation and testing.">
  7. Implement algorithms in robust, efficient and well-tested code ensuring software quality, maintainability and performance.">
  8. Design and create platforms for image processing and visualization to support model development and deployment.">
  9. Work closely with cross-functional teams including software engineers and system integrators to deliver end-to-end solutions.">
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Requirements:

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  • ">
  • Minimum 2 years of hands-on experience in computer vision and deep learning development.">
  • Strong ability to design and implement deep learning frameworks to solve complex image and video processing problems.">
  • Proficient in C++ programming with expertise in video analytics.">
  • Experience with GPU programming and acceleration frameworks such as CUDA.">
  • Familiarity with NVIDIA DeepStream SDK or similar frameworks for video analytics and edge deployment.">
  • Practical knowledge of popular computer vision libraries and frameworks such as OpenCV, TensorFlow, PyTorch, Detectron2 or MMDetection.">
  • Solid understanding of dataflow programming models and pipeline architectures for efficient training and inference.">
  • Ability to write clean, optimized and well-documented code with good software engineering practices.">
  • Bachelor's degree in Electronics & Telecommunication, Computer Science, IT, Mechanical or Electronics Engineering.">
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