AI Vision Systems Developer

7 days ago

Aligarh, Uttar Pradesh, India beBeePioneer Full time ₹ 1,25,00,000 - ₹ 2,55,00,000
Next-Generation Video Intelligence Pioneer

We are building the future of video analysis at a leading technology company. Our flagship platform analyzes over a billion seconds of video to power real-world applications in market research, retail analytics, and sports analytics.

Our team has achieved an industry-leading 90-92% accuracy in human activity analysis, and we're just getting started. We are passionate innovators who believe in bridging cutting-edge research with production-grade solutions to create tangible impact.

The Mission:

As a Senior Deep Learning Engineer, you will pioneer the next generation of our core Video AI capabilities. This is an opportunity to own the full lifecycle of new features, from concept to deployment, and directly influence a product that is already a leader in its field.

You will be responsible for:

  • Transforming state-of-the-art research into robust, scalable, and deployed features for our core platform.
  • Designing, building, and meticulously optimizing Deep Learning models for sophisticated human activity analysis.
  • Taking full ownership of key modules, ensuring their seamless integration and performance within our broader platform.
  • Proactively exploring and integrating new architectures and techniques to continuously advance our models' accuracy and scalability.

Key Requirements:

1. Experience: 3-4 years of industry experience, with at least 2 years directly focused on Deep Learning for Computer Vision or Video AI. Proven success in taking models from research to production is a must.

2. Technical Proficiency:

* Exceptional proficiency in Python and PyTorch.

* Deep practical expertise with ONNX for optimization and deployment.

* Hands-on experience with robust data pipelines and model deployment for Computer Vision.

* Proficiency with Linux, CUDA, and OpenCV.

3. Deep Learning Expertise:

* A strong, practical understanding of fundamental Deep Learning concepts.

* Proven experience successfully implementing activity detection or object detection algorithms.

* A keen ability to critically read, understand, and implement state-of-the-art research papers.

A successful candidate should have a Builder's Mindset, Relentless Curiosity, and Ownership & Impact.

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