Profile Brief/ Responsibilities • Keep up-to-date with latest technology trends. • Work closely with Project/Business/Research teams for identifying the best model for a given problem • Research and build highly efficient and state-of-the art models • Selecting features, building and optimizing models using machine learning techniques. Requirements • 2-5 years of relevant industrial experience in Machine Learning and Deep Learning with: Strong working knowledge in Python, C, C++, Linux. • Excellent understanding of Machine Learning Techniques and Algorithms. • Excellent understanding of Text Analytics concepts and methodologies - Named Entity Recognition, Text Classification, Event Detection, Sentiment Analysis, POS Tagging, Bag of Words. • Hands-on experience with Neural Networks (CNN/, RNN,/ DNN, /BNN,/LSTM, SSD, etc), Support Vector Machine, Conditional Random Field etc. • Experience with GPU/DSP/ISP/SoC architecture and system software • Python, Tensorflow/Caffe/CUDA/Keras • Ability to see big picture, think innovative and suggest out of box solutions. • Ability to write high performance structured code. • Exposure to recent developments in Deep Learning domain
- Strong grasp on Python and basic understanding of matrix algebra - Understanding of modern deep learning techniques like CNN, Attention, LSTM, etc - Experience with TensorFlow and Keras - Experience with Computer Vision and domain specific tools like opencv
-Precily AI: Automatic summarization, shortening a business document, book with our AI. Create a summary of the major points of the original document. AI can make a coherent summary taking into account variables such as length, writing style, and syntax. We're also working in the legal domain to reduce the high number of pending cases in India. We use Artificial Intelligence and Machine Learning capabilities such as NLP, Neural Networks in Processing the data to provide solutions for various industries such as Enterprise, Healthcare, Legal.
We are building the AI core for a Legal Workflow solution. You will be expected to build and train models to extract relevant information from contracts and other legal documents. Required Skills/Experience: - Python - Basics of Deep Learning - Experience with one ML framework (like TensorFlow, Keras, Caffee) Preferred Skills/Expereince: - Exposure to ML concepts like LSTM, RNN and Conv Nets - Experience with NLP and Stanford POS tagger