Computer Vision Engineer

4 Months ago • 3-5 Years • Artificial Intelligence

Job Summary

Job Description

Develop and deploy computer vision algorithms and deep learning models. Design and implement computer vision models using state-of-the-art techniques. Explore and analyze unstructured data like images through image processing. Analyze, evaluate and optimize existing computer vision systems. Test and validate computer vision code and models. Research and implement new computer vision technologies. Collaborate with cross-functional teams. Monitor performance and accuracy of models. Maintain and update computer vision systems. Provide technical support.
Must have:
  • Develop and deploy computer vision algorithms
  • Design and implement CV models
  • Analyze and optimize CV systems
  • Test and validate CV code
  • Experience with OpenCV, TensorFlow, PyTorch
  • Knowledge of CUDA, NumPy
Good to have:
  • ONNX, TensorRT, OpenVINO experience
  • Cloud platform (AWS, Azure) experience
  • Docker, Kubernetes, GitHub experience

Job Details

About the job

Skills:
Image Processing, Machine Learning, Deep Learning, Python, OpenCV, Computer Vision Algorithms, CUDA, NumPy,

Responsibilities

  • Develop and deploy computer vision algorithms and deep learning models for diverse problems.
  • Design and implement computer vision models using state-of-the-art techniques and frameworks.
  • Explore and analyze unstructured data like images through image processing.
  • Analyze, evaluate and optimize existing computer vision systems to improve performance and accuracy.
  • Test and validate computer vision code and models, ensuring robustness and reliability.
  • Research and implement new computer vision technologies to stay at the forefront of the field.
  • Collaborate with cross-functional teams to develop innovative solutions that meet project requirements.
  • Monitor the performance and accuracy of computer vision models, making necessary adjustments and improvements.
  • Maintain and update computer vision systems to ensure their continued functionality and relevance.
  • Provide technical support and guidance to team members and customers using computer vision systems.

Requirements

  • 3 - 5 years of experience as a Computer Vision Engineer.
  • Bachelor's degree in Computer Science, or a related field.
  • Proven experience in developing computer vision systems, including hands-on implementation and deployment.
  • Strong knowledge of computer vision algorithms, libraries and tools, such as OpenCV, TensorFlow, PyTorch, Keras, NumPy, scikit-image, PIL, Matplotlib, Seaborn, etc.
  • Familiarity with tools and libraries commonly used in computer vision projects such as CUDA, OpenCL, OpenGL.
  • Expertise in various computer vision projects, including object detection, image classification, text detection & OCR, face detection, generative models, video analytics, object tracking and model compression/optimization.
  • Knowledge of runtime AI frameworks like ONNX, TensorRT, OpenVINO.
  • Experience in cloud platforms (AWS, Azure), Docker, Kubernetes and GitHub.
  • Experience in training models through GPU computing or on the cloud.
  • Familiarity with machine learning and deep learning concepts and frameworks.
  • Excellent problem-solving skills and the ability to think analytically.
  • Good written and verbal communication skills for effectively communicating with the team and ability to present information to varied technical and non-technical audiences.
  • Ability to work independently and in a fast-paced environment and also be able to work in a team when required.

Desired Candidate Profile

Experience: 3 - 5 years

Location: Bangalore/Coimbatore

Qualification: Computer Science or a related field

Job Type: Full-Time, Permanent

Schedule: Day Shift, Monday to Friday

Workplace Type: On-site (Work from Office)

Notice Period: Immediate


Desired Skills and Experience

Image Processing, Machine Learning, Deep Learning, Python, OpenCV, Computer Vision Algorithms, CUDA, NumPy

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