What will you do:
1. Work on solving problems using Deep Learning Techniques mainly in the domain of image, video
and text processing.
2. Integrate all sources of the experimentation pipeline including data storage, data manipulation,
pre-processing, post-processing and client response
3. Iterate through various types of solutions to give baseline results at the start and more accurate
results as the project moves along.
4. Build interfaces to reduce code redundancy & experimentation time and bring visibility to the
project metrics across iterations
5. Research on extending or using existing open source solutions to solve parts of the problems
and build competitive advantage in the process.
What we are looking for:
1. Bachelors/Masters in Computer Science or related fields
2. Strong in coding with good knowledge of algorithms and data structures.
3. 2-5 years of development experience with focus on ML problems with at least 1 year on
deploying Deep Learning projects to production.
4. Hands-On experience with DL frameworks like Tensorflow, Keras and Pytorch etc.
5. Experience with Shell Scripting and other techniques to manipulate large scale data on memory
limited resources.
6. Good understanding of the full web technology stack (e.g. RESTful APIs, DBs, caching) for taking
production constraints into account to tune model size and performance.
7. Ability to give experimentation and project timelines to solve a problem in multiple stages.
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