Vidooly - Data Scientist - Computer Vision/Deep Learning (2-5 Yrs) Noida (Systems/Product Software)

Job Description Position- Data Scientist-Computer Vision Work Location: Noida HQ About Vidooly: - Vidooly was conceptualized and launched in November 2014 as an online video intelligence and analytics platform for content creators, brands, multi-channel networks, agencies and media companies. They had one simple goal in mind; to revolutionize the video analytics ecosystem on a global level. Many of the worlds best-known names including TVF, OML, Fine Brothers, Video Gyan, GroupM, Mindshare, Thoughtful Media, WebTV Asia etc. have benefited from using our end-to-end solutions to succeed in online video, understand grow their audiences and developing a content media strategy. Vidooly provides actionable analytics about different genres, audience interests and content trends that can help brands and video creators make better content that resonates with their viewers. Our monthly reports rankings are also widely accepted in the media and advertising industry. Backed with a wonderful and enthusiastic team, we provide our clients with world-class service and valuable insights that help them cut through the noise and create an experience that is efficient effortless. Job Brief : Vidooly is looking for a Data Science Expert based at Noida location. We are looking for a person with good knowledge of Deep learning and Computer Vision, solid theoretical background in image processing, computer vision and machine learning. Job Responsibilities : - Data mining for structured, unstructured data - Build and evaluate models for machine/Deep learning - Image, Object recognition/detection using Deep Learning - Text Analysis using Natural Language Processing - Work with the team to create new deep learning and ML algorithms and applications.
-Identify new research opportunities and formulate relevant technical problems.
-Able to design and prototype novel video analysis applications that intelligently extract relevant information and understanding from video data streams.
-Able to handle huge video/image data. Requirement : - 2 years of experience in the field of Deep Learning and computer vision.
-Solid theoretical background in image processing, computer vision and machine learning.
-Experience in Computer vision for object recognition and tracking, Face recognition, experience in OCR, segmentation algorithms - In-depth understanding of image processing algorithms, pattern recognition methods, and rule-based classifiers - In-depth understanding of different Deep Learning (CNN) methods and their applications.
-Should have knowledge of a different state of the art deep learning models architecture - Working experience in Deep-learning algorithms/approaches on platforms like Caffe/TensorFlow/PyTorch/Keras is necessary - Should have knowledge on one of the programming languages such as C, C , and Python. Should have worked on Linux OS, knowledge of CUDA, CUDNN - Demonstrated outstanding ability to perform innovative and significant research in the form of technical papers, thesis, or patents

Required Skills : English