
computer vision engineer
at create high quality product images/videos at scale using AI


Job Description : - We are looking for a seasoned Computer Vision Engineer with AI/ML/CV and Deep Learning skills to play a senior leadership role in our Product & Technology Research Team. -
You will be leading a team of CV researchers to build models that automatically transform millions of e-commerce, automobiles, food, real-estate ram images into processed final images. -
You will be responsible for researching the latest art of the possible in the field of computer vision, designing the solution architecture for our offerings and lead the Computer Vision teams to build the core algorithmic models & deploy them on Cloud Infrastructure. -
Working with the Data team to ensure your data pipelines are well set up and models are being constantly trained and updated - Working alongside product team to ensure that AI capabilities are built as democratized tools that provides internal as well external stakeholders to innovate on top of it and make our customers successful - You will work closely with the Product & Engineering teams to convert the models into beautiful products that will be used by thousands of Businesses everyday to transform their images and videos.
Job Requirements: - Min 3+ years of work experience in Computer Vision with 5-8 years work experience overall - BS/MS/ Phd degree in Computer Science, Engineering or a related subject from a ivy league institute - Exposure on Deep Learning Techniques, TensorFlow/Pytorch - Prior expertise on building Image processing applications using GANs, CNNs, Diffusion models - Expertise with Image Processing Python libraries like OpenCV, etc. - Good hands-on experience on Python, Flask or Django framework - Authored publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR,ICCV, ACL)
- Prior experience of managing teams and building large scale AI / CV projects is a big plus - Great interpersonal and communication skills - Critical thinker and problem-solving skills In Media.

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