Description:

Job Responsibilities
• Programming Skills: Proficiency in Python is required along with hands-on experience of ML/DL libraries like Numpy, Pandas, scikit-learn, TensorFlow, pytorch, Mathplotlib, etc
• Good knowledge in statistics and probability distributions
• Experience in handling image data using python libraries like OpenCV, scikit-image etc
• Deep understanding on common Machine Learning techniques related to Time series, Regression, Classification, Clustering, etc.(e.g. KNN, SVM, Random Forest, GBM, XGBoost, ARIMA, etc) and their applications
• Proficiency with at least one deep learning framework such as PyTorch, TensorFlow, Keras, etc.
• Experience in Optical Character Recognition and Document Digitization problems preferred
• Working knowledge in deep learning with different NN architectures like CNN, RNN, LSTM, GANs Auto encoders, Transformers, YoLo etc.
• Should be able to adopt available models from open source domain and implement research papers based on use-case requirements
• Working experience in end to end data science project life cycles from use case framing, data collection, data exploration, model building, deployment
• Nice to have understanding of big data related technologies and DevOps (Dockers, Singularity)

Other skills/ expectations
• Good communication and presentation skill
• Proven ability be creative and analytical in trouble shooting issues
• Ability to work in a fast-paced and high-pressure environment to manage competing priorities