Experience: 4-5 years hands on experience in Python programming, ML and Deep Learning concepts.

You should have been involved in an end-to-end product development used for automation.

You will lead all the processes from data analysis, data cleaning, data augmentation, pre-processing, sample datasets, model training, parameter/hyper-parameter tuning. You should be passionate about ML/AI and stay up-to-date with the latest developments in the field.

Responsibilities:

• Data (Image) cleansing and pre-processing will have to be done automatically
• Understanding of OCR o/p, feature engineering based on the o/p
• Define strategy to split dataset for train, valid, test
• Compare model accuracy across different algorithms
• Model Tuning through hyper-parameter tuning, parameter tuning
• Knowledge on Azure ML would be good
• Knowledge and hands on experience on Deep Learning algorithms like LSTM, CNN, Encoder-Decoder, Transformers, etc.,)
• Define version management and deployment strategy for model
• Define strategy to update an existing model with incremental data

Attributes:

• Passionate about AI/ML and keep up-to date with new techniques and technologies that can be applied at work
• Fire to solve complex tech problems
• Share knowledge and ideas with the team and encourage team members to reciprocate with the same

Certifications:

• Certification on ML or Deep Learning would be good to have

Qualifications: B.E./B.Tech/M.Tech/M.S. from reputed college (IIT, BITS, or US/European universitiies)

Job Requirements:

• Have a good conceptual understanding of Deep Learning algorithms (especially RNN and CNN) and experience in hyper-parameter tuning
• Hands on experience implementing Deep Learning Models with at-least one of the deep learning frameworks TensorFlow or Keras or PyTorch
• Good understanding of OCR software such as Tesseract, ABBYY etc
• Hands on experience in generally scripting using Python libraries
• Hands on experience and knowledge on APIs, REST services, Json, XML, etc.,
• OpenCV, ImageMagick, and other image processing package would be nice to have
• Hands on experience in Python and basic libraries for machine learning such as scikit-learn and pandas
• Having understanding of NLP concepts and working experience in semantic extraction is nice to have
• Awareness or working experience on cloud based solutions and applications on AWS, Azure or Google is nice to have