Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Computer Vision System Engineer Image Signal Processing.
India Jobs Expertini

Urgent! Computer Vision System Engineer - Image Signal Processing Job Opening In Aurangabad – Now Hiring Tehno Right

Computer Vision System Engineer Image Signal Processing



Job description

<p>Computer Vision Systems (Algorithm) Engineer<br/><br/>Job Description :<br/><br/>Successful candidates will be part of a systems and R&D team that develops embedded camera and imaging solutions, image signal processor (ISP), video codec hardware as well as advanced algorithms for computer vision and image/video processing.

</p><p><br/></p><p>Responsibilities :<br/><br/>The job responsibilities may include a subset of the following :<br/><br/>- Develop and/or optimize depth estimation and optical flow algorithms, enabling critical use-cases across mobile, AR/VR and automotive platforms<br/><br/>- Research and develop power-efficient computer vision algorithms, deep learning architectures and models in computer vision for AI-enabled camera, video, AR/VR products<br/><br/>- Developing or Optimizing image processing and computer vision algorithms for HW acceleration<br/><br/>- Support product teams for commercialization, such as solution optimization, performance profiling and benchmarking.<br/><br/>- Proficiency in programming languages such as Python (NumPy, OpenCV, TensorFlow, PyTorch) for developing computer vision algorithms and applications.

Knowledge in C++ is a plus.<br/><br/>- 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.<br/><br/>- Experience with deep learning frameworks such as TensorFlow, PyTorch, Keras, and OpenCV for developing and deploying deep neural networks for computer vision tasks.<br/><br/>- Knowledge of popular deep learning architectures for computer vision such as CNNs, RNNs, GANs, & Transformer models.<br/><br/>- Strong mathematical foundations including linear algebra, calculus, probability theory, and optimization techniques (e.g., gradient descent, Adam optimizer) used in ML algorithms.<br/><br/>- Prior exposure to cloud platforms (preferably AWS) to deploy data pipelines and to use tools/services like AWS SageMaker, Kinesis, MLFlow etc.<br/><br/>- Exposure to Generative AI algorithms for Computer Vision like Stable Diffusion is a plus.<br/><br/>- Experience with GPU programming and optimization using CUDA or OpenCL for accelerating deep learning computations is a huge plus.<br/><br/>- Proficient in using computer vision libraries and tools for feature extraction, image registration and object recognition.<br/><br/>Required qualifications :<br/><br/>- Background in digital image processing and computer vision fundamentals<br/><br/>- Background in depth estimation and optical flow algorithms<br/><br/>- Working knowledge with Open CV and vision algorithms (feature detection/description and matching)<br/><br/>- Strong knowledge in data structures and working experience with C/C++ programming</p> (ref:hirist.tech)


Required Skill Profession

Computer Occupations



Your Complete Job Search Toolkit

✨ Smart • Intelligent • Private • Secure

Start Using Our Tools

Join thousands of professionals who've advanced their careers with our platform

Rate or Report This Job
If you feel this job is inaccurate or spam kindly report to us using below form.
Please Note: This is NOT a job application form.


    Unlock Your Computer Vision Potential: Insight & Career Growth Guide