Deep Learning Internship (6 Months)

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 require a good understanding of Deep Learning Algorithms in both NLP (LSTMs, RNNs, etc.) and Computer Vision (CNNs, etc.) domains using TensorFlow, Keras, and PyTorch to solve real-life problems. You will also be involved in creating and updating documentation for your work and implementing deep learning algorithms such as LSTM, RNNs, DNNs, and BI-LSTMs from scratch. Additionally, you will work on Computer Vision and Image processing tasks, including TRANSFER LEARNING - GANs. Key Responsibilities: - Research machine learning/data science topics for writing articles for company websites - Assist with hands-on coding on Jupyter Notebook for providing code snippets in articles - Work on short projects & assignments, deployment techniques, and design and implement machine learning algorithms - Develop AI solutions in the computer vision domain using CNN and a combination of deep neural networks - Solve object detection, recognition, image classification problems using machine learning and deep learning algorithms, transfer learning methods, and techniques - Use innovative & automated approaches for data annotation, labeling, data augmentation, and active learning - Provide online code assistance, code mentoring, and education-based solutions Qualifications Required: - Master or PhD degree in Statistics, Applied Mathematics, or 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 or B.tech in relevant fields Please note that the company offers perks such as Certificate, Letter of recommendation, Flexible work hours, Informal dress code, 5 days a week, and Free snacks & beverages.,