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, Versatile work hours, Informal dress code, 5 days a week, Free snacks & beverages.

📌 Deep Learning Internship (6 Months) (India)
🏢 Codersarts
📍 India