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


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


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Unlock Your Computer Vision Potential: Insight & Career Growth Guide


Real-time Computer Vision Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Computer Vision in Aurangabad, India, highlighting market share and opportunities for professionals in Computer Vision roles.

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The average salary range for a varies, but the pay scale is rated "Standard" in Aurangabad. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Computer Vision System Engineer Image Signal Processing typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Tehno Right interview tips for Computer Vision System Engineer   Image Signal Processing

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Final Thought:

To prepare for your Computer Vision System Engineer Image Signal Processing interview at Tehno Right, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Tehno Right's products or services and be prepared to discuss how you can contribute to their success.

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