Deep Learning Internship

Role Overview: You will be responsible for building deep learning models using TensorFlow/PyTorch and collaborating with the team to ensure proper testing and deployment. Your role will involve applying deep learning algorithms in NLP and Computer Vision domains to solve real-life problems. Additionally, you will create and update documentation for the work done and implement deep learning algorithms from scratch. Key Responsibilities: - Research various machine learning/data science topics for writing articles for the company websites - Assist with hands-on coding on Jupyter Notebook to provide code snippets in articles - Work on short projects, assignments, and deployment techniques - Design and implement machine learning algorithms, information extraction, probabilistic matching algorithms, and models - Utilize your programming skills and deep learning/AI expertise to solve real-life problems using Python, TensorFlow, Keras, and PyTorch - Develop AI solutions in the computer vision domain using CNN and a combination of CNN & RNN - Solve object detection, recognition, image classification problems using machine learning and deep learning algorithms, transfer learning methods, and techniques - Implement innovative and automated approaches for data annotation, labeling, and augmentation, as well as active learning - Provide online code assistance, code mentoring, and education-based solutions Qualifications Required: - Master or PhD degree in Statistics, Applied Mathematics, or a similar quantitative discipline, or equivalent practical experience - Relevant internship or work experience with data analysis - Experience with statistical software (R, Python, S-Plus, SAS, or similar) and database languages (e.g. SQL) - Preferred qualifications: Master's degree or B.Tech in relevant fields Additional Details: The company offers perks such as certificates, letters of recommendation, flexible work hours, informal dress code, 5 days a week, and free snacks & beverages.,