Deep Learning Internship (6 Months)

Job Description

Building deep learning models as specified using TensorFlow/PyTorch

Collaborating with the team to ensure that models are properly tested and deployed

Good knowledge/understanding of Deep Learning Algorithms in both NLP (LSTM’s, RNN’s etc.) and Computer Vision (CNN’s etc.) domain and TensorFlow and deep learning frameworks like Keras, PyTorch - to solve real-life problems

Creating and updating documentation for the work done.

Understanding of deep learning algorithms implemenation from scratch (LSTM,RNNS,DNNS,BI-LSTMS etc)

Computer Vision and Image processing.

TRANSFER LEARNING - GAN’s

Minimum qualifications

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 experience with database languages (e.g. SQL).

Preferred qualifications

Master Or B.tech other relavants

Role and Responsibilties

Research on given machine learning/data science topics for writing articles for our company websites

Assist with hands-on coding on Jupyter Notebook for providing code snippets in the articles

Work on short projects & assignments

Work on deployment techniques

Design and implement machine learning, information extraction, probabilistic matching algorithms, and models

Use your passion for programming and deep learning/AI skills using Python, TensorFlow, and deep learning frameworks like Keras, PyTorch to solve real-life problems

Develop AI solutions in the computer vision domain using convolutional neural networks (CNN) and a combination of deep neural networks such as CNN & RNN

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, and data augmentation & use active learning

Handle online code assistance, code mentoring, and education-based solutions

Perks

Certificate, Letter of recommendation, Flexible work hours, Informal dress code, 5 days a week, Free snacks & beverages.