Computer Vision Engineer

2 weeks ago


Delhi NCR, India Griphic Full time ₹ 9,00,000 - ₹ 12,00,000 per year

About the Company:

Griphic is founded by IIT Delhi engineers. Our vision is to enrich lives through technological innovation. We combine cutting-edge AI with hyper-realistic virtual experiences to solve problems and bring disruption in the industry. We have a dynamic team with engineers from IIT Delhi, AI/ML engineers, VR developers, and many more. Our startup is backed by the worlds leading design documentation firm, SKETS Studio, which has a strength of 700+ people and specializes in BIM, architecture, VR, and 3D visualization.

Griphic is looking for a Computer Vision Engineer to join our dynamic Cerebrus team. We specialize in conducting meta-human powered and AI-driven interviews. In this role, you will develop and optimize a proctoring model for interview settings, creating AI-driven systems to monitor and analyze candidate behavior while ensuring security and fairness. Your focus will be on detecting suspicious activities, verifying identity, and enabling smooth real-time candidate evaluation.

Key Responsibilities:

  • Design and implement computer vision models to monitor candidates during interviews for proctoring purposes.
  • Develop algorithms for detecting suspicious behavior, such as cheating or impersonation.
  • Optimize models for real-time performance and minimal latency.
  • Integrate facial recognition, object detection, and gaze tracking technologies.
  • Collaborate with AI and data science teams to improve model accuracy and robustness.
  • Continuously monitor model performance and make improvements based on feedback and new data.
  • Stay updated on advancements in computer vision, particularly in security and proctoring solutions.

Required Skills:

  • Bachelors or Masters degree in Computer Vision, Computer Science, or a related field.
  • Proficiency in deep learning frameworks like TensorFlow or PyTorch.
  • Strong experience in computer vision techniques (e.g., facial recognition, object detection, gaze tracking).
  • Hands-on experience with OpenCV and other vision processing libraries.
  • Proficiency in Python and related libraries (NumPy, SciPy).
  • Experience with model deployment and optimization for real-time systems.

Interested candidates should submit their resumes at along with a brief cover letter and any relevant project examples or GitHub links.



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