Senior Software Engineer

Role Overview: You will be responsible for understanding software/system components and associated specifications. You will have the ability to modify the architecture to enhance accuracy using different techniques like hyperparameter tuning, changing validation and test strategy, and choosing the right loss and activation functions. Additionally, you must have a decent understanding of CNN based popular models like ResNet, BERT, VGG16, and apply statistical techniques for data analysis. Your role will also involve optimizing neural architecture for production deployment. Key Responsibilities: - Demonstrate a good knowledge of Maths and Statistics, particularly in the areas of calculus, linear algebra, and Bayesian statistics. - Utilize working knowledge of CNN based architecture on imaging or video applications. - Display a good understanding of programming languages like Python, C/C++, Tensorflow/Keras APIs, and the OpenCV library. - Implement various optimization techniques for production deployment. - Deliver on production environments with a demonstratable track record. - Utilize Image processing/audio signal processing exposure as a plus. - Apply hands-on knowledge of using GPUs for TensorFlow for speeding up inference. Qualifications Required: - Graduate/Post-Graduate in Computer Science/Maths/Stats/Physics from a reputed institution. - Consistently maintain a good academic record with a minimum of 70% throughout (from 10th std onwards). *Note: The Job Description does not include any additional details about the company. Role Overview: You will be responsible for understanding software/system components and associated specifications. You will have the ability to modify the architecture to enhance accuracy using different techniques like hyperparameter tuning, changing validation and test strategy, and choosing the right loss and activation functions. Additionally, you must have a decent understanding of CNN based popular models like ResNet, BERT, VGG16, and apply statistical techniques for data analysis. Your role will also involve optimizing neural architecture for production deployment. Key Responsibilities: - Demonstrate a good knowledge of Maths and Statistics, particularly in the areas of calculus, linear algebra, and Bayesian statistics. - Utilize working knowledge of CNN based architecture on imaging or video applications. - Display a good understanding of programming languages like Python, C/C++, Tensorflow/Keras APIs, and the OpenCV library. - Implement various optimization techniques for production deployment. - Deliver on production environments with a demonstratable track record. - Utilize Image processing/audio signal processing exposure as a plus. - Apply hands-on knowledge of using GPUs for TensorFlow for speeding up inference. Qualifications Required: - Graduate/Post-Graduate in Computer Science/Maths/Stats/Physics from a reputed institution. - Consistently maintain a good academic record with a minimum of 70% throughout (from 10th std onwards). *Note: The Job Description does not include any additional details about the company.