Position Summary

1. Explore areas to apply machine learning technology, develop measures on collecting data used for model learning and evaluation and collect data.
2. Develop data pre-processing and feature extraction algorithms and modeling/pattern recognition algorithm by reflecting data characteristics.
3. Perform to optimize data analysis software, develop performance evaluation measures and evaluate.

Role and Responsibilities

Deep Learning in CV domain as part of STRIDE (OCR Engine) Project
On Device text detection and extraction, end to end OCR engine
Advanced Python Programming and Hands on experience in DL Model design and training
Hands on development of DL models using Tensorflow/Keras. Knowledge of Pytorch is an added advantage
Experience in Image Processing using OpenCV
Experiment and suggest various metrics, optimizers, loss functions for a ML model suitable to the task at hand
Analysing the errors/failure cases of the model and designing strategies to overcome them
Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
Working with large scale and real world datasets
Model pruning, compression and optimization techniques and Experience on mobile deployment of AI models
Thirst for innovation, aware of latest research in CV domain, Curious to come up with novel/differential solutions (Enhance User experience, Improve performance, etc.)

Skills and Qualifications

1. Knack to learn Cutting edge Computer Vision and use of Deep Learning models.
2. Image processing
3. Vision based DL models understanding and keen to learn about SOTA architectures and implement them
2. On device understanding of ML Model

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