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Deep Learning (Intern)

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Role Responsibilities:

Working as a Deep Learning Research Engineer Intern at Aptagrim is dynamic. You will work with top technology partners, learn new skills and grow your career. You will be responsible for working on projects related to Computer Vision, Deep Learning, Artificial Intelligence, object detection, and state of the art Machine Learning Algorithms. This internship could also lead to a full time at-will position

• Designing new algorithms and models by defining datasets, devising baseline, and improving performances
• Implementing, refining, and strengthening techniques from scientific publications and helping to integrate them into production
• Keeping up with the latest advances in Natural Language Processing and Deep Learning to push beyond state-of-the-art solutions and advance Aptagrim's AI products
• Working closely with the Data and Product teams to understand the data and make the best use of it
• Contributing to the continuous improvement of our research framework

Required Skills:

• Working knowledge of deep learning, machine learning and statistics.
• Experience in Deep learning using Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN) and LSTM
• Strong knowledge on deep learning applications with computer vision, image captioning, video analysis, image manipulation, image segmentation, object detection and feature mapping.
• Functional expertise in DL modelling practices specific to data at hand (Size of model, training procedures, hand-designed layers etc.).
• Thorough understanding of state-of-the-art DL concepts (Sequence modelling, Attention, Convolution etc.) along with knack to imagine new schemas that work for the given data.
• NLP expertise, especially in Language modelling, experience in using pre-trained language models (Transformer /GPT /BERT).
• Working Knowledge with GPU/CUDA programming
• Great programming skills with expertise in Python development standards.
• Fluency in Python package ecosystem especially ML/ DL packages like TensorFlow, Keras, PyTorch etc.
• Familiarity with code production standards and version control systems
• Excellent communication skills


1. This position requires you to be based at HYDERABAD.
2. Work Model:  Until 28 Feb 2021; for 2 days in a week, it would be working from our office and for the remaining 3 days in the
week it shall be a work-from-home model. 
3. Tentatively from 1 April 2021 it shall be working from office only.

Good to have:

• Master’s degree in Statistics, Applied Mathematics, or related discipline
• Professional Machine Learning & Deep Learning certifications

Internship Duration:

6 months