Computer Vision Data Science Engineer

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Experience
3 - 4 yrs
Job Location
Thiruvananthapuram, India
Vacancy
1
Designation
Data Science Engineer
Job Type
ONSITE

Job Description

Job Description for Computer Vision Data Science Engineer Role Apply
About the Role:

We are seeking an experienced Data Science Engineer specializing in computer vision to join our innovative team. The ideal candidate will have a strong background in developing and implementing advanced computer vision solutions, with particular expertise in number plate recognition, face recognition, YOLO object detection, and NVIDIA DeepStream.

Responsibilities:
  • Design, develop, and optimize computer vision algorithms for real-time video analytics
  • Implement and fine-tune deep learning models for object detection, face recognition, and number plate recognition
  • Utilize YOLO (You Only Look Once) architecture for efficient object detection in video streams
  • Leverage NVIDIA DeepStream SDK to build and deploy AI-powered video analytics applications
  • Collaborate with cross-functional teams to integrate computer vision solutions into existing systems
  • Conduct performance analysis and optimization of computer vision models
  • Stay current with the latest advancements in computer vision and deep learning technologies
Requirements:
  • Masters or Ph. D. in Computer Science, Data Science, or related field
  • 3+ years of experience in computer vision and deep learning
  • Proven experience with number plate recognition and face recognition systems
  • Strong proficiency in YOLO object detection framework
  • Hands-on experience with NVIDIA DeepStream SDK
  • Expertise in Python and relevant computer vision libraries (OpenCV, TensorFlow, PyTorch)
  • Experience with GPU acceleration and optimization techniques
  • Solid understanding of machine learning principles and statistical analysis
  • Excellent problem-solving skills and attention to detail
  • Strong communication skills and ability to work in a collaborative environment
Preferred Qualifications:
  • Experience with edge computing and embedded systems for computer vision
  • Familiarity with video compression techniques and streaming protocols
  • Knowledge of privacy-preserving machine learning techniques
  • Experience with cloud-based deployment of computer vision models
  • Contributions to open-source computer vision projects

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