Transforming Vision with Deep Learning

2 days ago

Bikaner, Rajasthan, India beBeeDeepLearning Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Senior Deep Learning Engineer

We are seeking a highly skilled Senior Deep Learning Engineer to join our team. The ideal candidate will have expertise in transforming state-of-the-art research into robust, scalable, and deployed features for our core platform.

The successful candidate will be responsible for leading the charge in designing, building, and optimizing Deep Learning models for sophisticated human activity analysis. They will also take full ownership of key modules, ensuring their seamless integration and performance within our broader platform.

To succeed in this role, you should have a strong, practical understanding of fundamental Deep Learning concepts, as well as hands-on experience with robust data pipelines and model deployment for Computer Vision. You should also be proficient in Python and PyTorch, with a proven track record of successfully implementing activity detection or object detection algorithms.

A Builder's Mindset is essential for this position, as you will be driven by seeing your work in a real product and excited by the challenges of translating complex ideas into elegant, production-ready solutions. Relentless Curiosity and Ownership & Impact are also key qualities we look for in our team members.

Key Responsibilities:
  • Research to Production: Lead the charge in transforming state-of-the-art research into robust, scalable, and deployed features for our core platform.
  • Model Innovation and Optimization: Design, build, and meticulously optimize Deep Learning models for sophisticated human activity analysis.
  • End-to-End System Impact: Take full ownership of key modules, ensuring their seamless integration and performance within our broader platform.
What We're Looking For:
  • Experience: 3-4 years of industry experience, with at least 2 years directly focused on Deep Learning for Computer Vision or Video AI.
  • 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.
  • 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.

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