Embedded Computer Vision Software Developer

22 hours ago

Navi Mumbai, Maharashtra, India beBeeComputerVisionEngineer Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Title

Computer Vision System Engineer

We are seeking a skilled Computer Vision System Engineer to join our team. This role involves designing, developing and deploying computer vision systems and algorithms for various applications.

Responsibilities:

  • Develop and optimize depth estimation and optical flow algorithms for mobile, AR/VR, and automotive platforms.
  • Research and develop power-efficient computer vision algorithms and deep learning architectures for AI-enabled camera, video, and AR/VR products.
  • Develop or optimize image processing and computer vision algorithms for HW acceleration.
  • Support product teams for commercialization, including solution optimization, performance profiling, and benchmarking.

Requirements:

  • Proficiency in programming languages such as Python (NumPy, OpenCV, TensorFlow, PyTorch) for developing computer vision algorithms and applications.
  • Strong understanding of computer vision fundamentals, including image processing techniques (filtering, morphological operations), feature extraction (SIFT, HOG, Optical Flow), object detection (YOLO, SSD, R-CNN), segmentation (U-Net, Mask R-CNN), and tracking.
  • Experience with deep learning frameworks such as TensorFlow, PyTorch, Keras, and OpenCV for developing and deploying deep neural networks for computer vision tasks.
  • Knowledge of popular deep learning architectures for computer vision, such as CNNs, RNNs, GANs, & Transformer models.
  • Strong mathematical foundations, including linear algebra, calculus, probability theory, and optimization techniques (e.g., gradient descent, Adam optimizer) used in ML algorithms.

Bonus Requirements:

  • Prior exposure to cloud platforms (preferably AWS) to deploy data pipelines and use tools/services like AWS SageMaker, Kinesis, MLFlow etc.
  • Exposure to Generative AI algorithms for Computer Vision like Stable Diffusion.
  • Experience with GPU programming and optimization using CUDA or OpenCL for accelerating deep learning computations.

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