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Vision deep learning engineer

Vision deep learning engineer

streamingo.aiBengaluru, Karnataka, India
13 days ago
Job description

At Streamingo.ai, we are building the future of video intelligence. Our flagship platform, FizzStream, analyzes over a billion seconds of video to power real-world applications in market research, retail analytics, and sports analytics. We've achieved an industry-leading 90-92% accuracy in human activity analysis, and we’re just getting started. We are a team of passionate innovators who believe in bridging cutting-edge research with production-grade solutions to create tangible impact.

The Mission :

We are seeking a hands-on Senior Deep Learning Engineer to pioneer the next generation of our core Video AI capabilities. This isn't just a research role; it’s 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.

What You'll Own :

  • Research to Production : Lead the charge in transforming state-of-the-art research (e.g., Video Language Models, multi-camera tracking) 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. You'll work with the entire lifecycle, ensuring performance and efficiency.
  • End-to-End System Impact : Take full ownership of key modules, ensuring their seamless integration and performance within our broader platform. You will be a bridge between our research and full-stack engineering teams, delivering cohesive and performant solutions.
  • Future-Proof Our AI : Proactively explore and integrate new architectures and techniques to continuously advance our models' accuracy and scalability.

What We're Looking For :

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.
  • Your DNA :

    A Builder's Mindset : You are driven by seeing your work in a real product and are excited by the challenges of translating complex ideas into elegant, production-ready solutions.

    Relentless Curiosity : You have a passion for exploring new algorithms, continuously learning, and experimenting with new approaches.

    Ownership & Impact : You are a self-starter who takes complete ownership of a project from start to finish, driving it to success and ensuring its impact is felt by the product and our users.

    Join the Journey :

    If you are ready to make a significant impact on the future of AI and contribute to a platform that analyzes billions of seconds of video, we want to hear from you. Apply today to help us build intelligence that matters.

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    Engineer Deep Learning • Bengaluru, Karnataka, India

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