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.,
As an intern at Venera Technologies, you will have the opportunity to work on various data science projects in the video analytics domain. Your day-to-day responsibilities will include understanding data requirements and implementing effective data solutions. You will be responsible for data generation and data sanitization for model training using various methods and tools. Additionally, you will be tasked with model evaluation and assisting the team in fine-tuning the model parameters using various metrics and techniques. Your role will also involve applying statistical techniques for data analysis to derive meaningful insights. Venera Technologies is a renowned video solutions company recognized for its innovative products and solutions worldwide. Our automated QC solutions, "Pulsar" and "Quasar", are utilized by leading broadcast, post-production, and media companies such as Disney, HBO, AMC Networks, NBC Universal, MLB Advanced Media, Telecom Italia, and Adstream. Furthermore, we have established partnerships with prominent technology firms including Aspera, Evertz, Netflix, and Telestream, who have seamlessly integrated with our products.,
Job Description Designation : Software Engineer - Description : Individual contributor Understand Software/System components and associated specifications. Ability to modify the architecture to enhance accuracy using different techniques like hyper parameter tuning, changing validation and test strategy, choosing right loss and activation functions. Good understanding of Visual Foundation models like YOLO, MAE, GrondingDIno etc. Apply statistical techniques for data analysis. Optimization of neural architecture for production deployment. Good at developing Heuristics post inference to reduce False Required : Skills : Good knowledge of Maths and Statistics particularly in the areas of calculus, linear algebra, and Bayesian statistics. Working knowledge of CNN based architecture on imaging or video applications. Good understanding of programming languages like Python, C/C++. Good understanding of Tensorflow/Keras APIs. Good understanding of OpenCV library. Good understanding of various optimization techniques for production deployment. Demonstratable track record of delivering on production environment. Image processing/audio signal processing exposure is a plus. Hands-on knowledge of using GPUs (CUDA) for tensorflow/pyTorch Skills : Strong analytical and problem-solving abilities, with quick adaptation to new technologies, methodologies, and systems. Self-starter, having positive attitude, ability to proactively identify issues and/or opportunities for improvement. Mature, ability to understand business perspective of requirements and interpersonal relationships when interacting with non team members. Team : Graduate/Post-Graduate in Computer Science/Maths/Stats/Physics from reputed institution Consistently good academic record having minimum 75% throughout (10th std : At least 1 year of work experience in the field of ML/AI : Sector - 68, Noida Job Types : Full-time, : Health insurance Leave encashment Provident Fund (ref:hirist.tech)
Role Overview: As a Software Engineer, you will be an individual contributor responsible for understanding software and system components along with associated specifications. Your role will involve modifying the architecture to enhance accuracy using techniques like hyperparameter tuning, changing validation and test strategies, and selecting the right loss and activation functions. Additionally, you will work on Visual Foundation models such as YOLO, MAE, and GrondingDIno, apply statistical techniques for data analysis, and optimize neural architecture for production deployment. Key Responsibilities: - Demonstrate a good knowledge of Maths and Statistics, especially in calculus, linear algebra, and Bayesian statistics. - Utilize CNN-based architecture for imaging or video applications. - Proficiency in programming languages like Python, C/C++, and understanding of Tensorflow/Keras APIs and OpenCV library. - Implement various optimization techniques for production deployment and deliver on production environments. - Experience in image processing/audio signal processing is a plus. - Hands-on knowledge of using GPUs (CUDA) for TensorFlow/pyTorch. Qualifications Required: - Graduation/Post-Graduation in Computer Science/Maths/Stats/Physics from a reputed institution. - Consistently good academic record with a minimum of 75% throughout. - At least 1 year of work experience in the field of ML/AI. Additional Details: The company offers a Full-time job type with benefits such as health insurance, leave encashment, and Provident Fund. (Note: Company details mentioned in the job description have been omitted as they do not provide specific information relevant to the job role.),
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