Senior Computer Vision Engineer

5 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

About the company:


VideoDB is pioneering an AI-first video infrastructure where developers can store, index, edit, and stream videos with ease, eliminating the traditional complexities of video management. We’re redefining video storage by turning video files into instantly searchable, modifiable, and streamable data, making it far more accessible and efficient for AI processing and analysis.


Our platform isn’t just a storage solution—it’s an innovation in data handling, offering 100x the speed at 10x the cost-efficiency of conventional methods. By treating videos as data rather than bulky files, we open doors to real-time modifications, scene segmentation, and advanced multimodal applications, all in a serverless, developer-friendly format.


Role Overview

We are seeking a Senior Computer Vision Engineer to design, build, and deploy scalable vision-based systems. You will work on cutting-edge problems involving image and video understanding, collaborate closely with ML engineers and product teams, and take ownership of models from research to production.


Key Responsibilities

  • Design and develop computer vision models for image and video analysis
  • Implement and optimize deep learning architectures (CNNs, Transformers, Diffusion-based models)
  • Work on tasks such as object detection, tracking, segmentation, pose estimation, OCR, or video understanding
  • Build end-to-end ML pipelines: data preparation, training, evaluation, and deployment
  • Optimize models for performance, latency, and scalability (edge and cloud)
  • Collaborate with backend, frontend, and product teams to integrate CV systems into products



 Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Robotics, or related field

• 5+ years of experience in computer vision or applied machine learning

• Strong proficiency in Python and deep learning frameworks (PyTorch, TensorFlow)

• Hands-on experience with OpenCV and image/video processing

• Experience deploying models in production environments

• Strong problem-solving and debugging skills


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