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Computer Vision Engineer - Image Processing

Computer Vision Engineer - Image Processing

Renous consultingBangalore
30+ days ago
Job description

Job Title : Senior Computer Vision Engineer

Location : Bangalore (Hybrid)

Experience : 7 to 10 years

About the Role :

We are looking for a highly skilled Computer Vision Engineer with strong expertise in C++ and C# to design, implement, and optimize advanced image processing and computer vision algorithms. This role involves working on cutting-edge applications in a hybrid environment with opportunities to collaborate across product and research teams.

Key Responsibilities :

  • Design, develop, and optimize computer vision algorithms for real-world applications.
  • Implement solutions in C++ and C# with a focus on performance and scalability.
  • Work on image processing, object detection, recognition, and tracking systems.
  • Collaborate with cross-functional teams including product managers, researchers, and software engineers.
  • Integrate vision-based solutions into larger software frameworks and applications.
  • Conduct code reviews, testing, and performance benchmarking.
  • Stay updated with the latest research in computer vision, AI, and ML and apply them in projects.

Required Skills & Experience :

  • 7 to 10 years of experience in software development with focus on computer vision.
  • Strong programming expertise in C++ (STL, OOP, multithreading) and C# (.NET environment).
  • Hands-on experience with image processing libraries (e.g., OpenCV, Halcon, PCL).
  • Strong understanding of linear algebra, geometry, probability, and optimization.
  • Experience in camera calibration, 3D vision, stereo imaging, or SLAM.
  • Exposure to deep learning frameworks (TensorFlow, PyTorch, ONNX) is a plus.
  • Strong debugging, optimization, and performance tuning skills.
  • Excellent problem-solving and communication abilities.
  • Good to Have

  • Experience with GPU programming (CUDA, OpenCL).
  • Familiarity with cloud deployment (AWS, Azure, GCP) for vision models.
  • Knowledge of real-time systems and embedded platforms.
  • (ref : hirist.tech)

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