Software Engineer - Machine Learning

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.),