Selected Intern’s Day-to-day Responsibilities Include Understand data requirements and implement effective data solutions Work on data science projects in the video analytics domain Data generation and data sanitization for model training using various methods and tools Model evaluation and helping the team in fine-tuning the model parameters using various metrics and techniques Apply statistical techniques for data analysis About Company: Venera Technologies is a video solutions company widely known for its innovative products and solutions worldwide. Our automated QC solutions 'Pulsar' and 'Quasar' are used globally by leading broadcast, post-production and media companies like Disney, HBO, AMC Networks, NBC Universal, MLB Advanced Media, Telecom Italia, Adstream, etc. We also have well-known technology partners such as Aspera, Evertz, Netflix, and Telestream who have integrated with our products. Show more Show less
Selected Intern's Day-to-day Responsibilities Include Understand data requirements and implement effective data solutions Work on data science projects in the video analytics domain Be responsible for data generation and data sanitization for model training using various methods and tools Be responsible for model evaluation and helping the team in fine-tuning of the model parameters using various metrics and techniques Apply statistical techniques for data analysis About Company: Venera Technologies is a video solutions company widely known for its innovative products and solutions worldwide. Our automated QC solutions 'Pulsar' and 'Quasar' are used globally by leading broadcast, post-production and media companies like Disney, HBO, AMC Networks, NBC Universal, MLB Advanced Media, Telecom Italia, Adstream, etc. We also have well-known technology partners such as Aspera, Evertz, Netflix, and Telestream who have integrated with our products.
You will be responsible for understanding software/system components and associated specifications. Your role will involve modifying the architecture to enhance accuracy using techniques such as hyperparameter tuning, changing validation and test strategies, and selecting the right loss and activation functions. It is crucial to have a decent understanding of CNN-based popular models like ResNet, BERT, VGG16, and the ability to apply statistical techniques for data analysis. You will also be optimizing neural architecture for production deployment. Your technical skills should include a good knowledge of Maths and Statistics, particularly in calculus, linear algebra, and Bayesian statistics. It is essential to have a working knowledge of CNN-based architecture for imaging or video applications, along with a good understanding of programming languages like Python, C/C++, Tensorflow/Keras APIs, and the OpenCV library. Familiarity with various optimization techniques for production deployment and a demonstratable track record of delivering in a production environment are required. Exposure to image processing/audio signal processing and hands-on knowledge of using GPUs for Tensorflow to speed up inference will be advantageous. In terms of soft skills, you should possess strong analytical and problem-solving abilities, with a quick adaptation to new technologies, methodologies, and systems. Being a self-starter with a positive attitude, the ability to proactively identify issues and opportunities for improvement, and a mature understanding of the business perspective of requirements and interpersonal relationships when interacting with non-team members are essential. Additionally, you should be a team player. The ideal candidate should hold a Graduate/Post-Graduate degree in Computer Science/Maths/Stats/Physics from a reputed institution. A consistently good academic record with a minimum of 70% throughout (from 10th std onwards) is required. This position is based in Noida.,
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