Responsibilities:

• Developing Models on AI/ML.

• Collecting and integrating data from various data sources to be used for building the models (writing crawlers, connecting to databases for extracting data for training algorithms, creating features that support hypothesis.)

• Training and Testing different ML/DL algorithms, performing iterative experiments with different techniques to discover the best performing algorithm.

• Creating frameworks to monitor algorithm performance.

• Performing data analysis from unstructured data to find meaningful business insights.

• Working as a product owner and holding end to end responsibility for NLP based solutions.

The Successful Candidate:

• Hands-on experience in Machine Learning, Deep Learning, NLP and Image matching algorithms using PySpark, Scikit-learn, and Tensor Flow, Neural Networks etc.

• Development with Python to build NLP applications (Text matching, conversational chatbot, etc.)

• Strong Background in advanced mathematical concepts and an excellent understanding of algorithms.

• Hands-on experience in NLP, AI, Machine Learning, Deep Learning as a Data Scientist (2-9 yrs.)

• Strong familiarity with Deep Learning methods for text analytics is highly desired - RNN, LSTM, word2vec and other embeddings, Keras/Tensor flow.

• Knowledge of Chatbot platforms and development and deployment of at least 1 NLP based Chatbot or other AI, machine learning, or NLP technologies

• Can work with a lean team internally, and is a self-starter.

• A passion to solve business problems across the value chain.