KEY RESPONSIBILITIES INCLUDE:

As part of the NLP data science team focusing on Conversational AI models across the enterprise, you will work within the team to follow and develop solutions according to our analytic process:

• Partner with LOB business executives to frame the problem and define/identify business objectives


• Identify/assess data sources


• Research, and quickly experiment and implement working prototypes for testing new ideas


• Design, develop, and deploy AI/ML/deep learning models using state of the art NLP and ML techniques available in the open stack and/or vendor solutions


• Data visualization


• Communication of results


• Responsible for model development document and monitoring processes


• Drive continuous process improvement, and increase the efficiency and quality of AI project deliveries


• Adhere to corporate model risk policy and ensure compliance with model risk management policies


• Working with other data science teams to identify, gather, retain, and publicize modeling artifacts required for approved and repeatable processes


• Contribute to NLP data science teams’ group effort to stay concurrent with the cutting edge and bleeding edge of NLP/ML/DL algorithms, methodologies in the open source community and vendor solutions. 


• Work with AI technology and production teams to operationalize models


• May be called upon to review vendor models and solutions and/or models developed outside of EADS

• 4+ years of experience in an advanced scientific or mathematical field


• A master's degree or higher in a quantitative field such as mathematics, statistics, engineering, physics, economics, or computer science


• 3+ years of Natural Language Processing (NLP) experience


• 4+ years of Python experience


• 4 + years of experience using quantitative machine learning techniques

• A PhD in a quantitative discipline


• Ability to work and influence successfully within a matrix environment and build effective business partnerships with all levels of team members


• Excellent verbal, written, and interpersonal communication skills


• Strong analytical skills with high attention to detail and accuracy

• Knowledge of libraries like scikit-learn, keras, Tensorflow 2.0, PyTorch


• Knowledge of advanced NLP technologies like transformers, attention, BERT, ELMO 


• Experience building virtual assistants using Dialog flow, Microsoft Bot Framework, Rasa or in any popular Bot Building frameworks; Knowledge on IVR based application platforms and Conversational IVR


• Hands on experience writing data processing and data pipeline for Chatbot model development including gathering and building datasets to collect intents, cleaning messy data, designing feedback loop on data needs


• Experience building intent recognition and classification models. Experience with phrase level identification. Hands on experience with data labeling design for intent classification


• Experience with model governance requirements. Able to de-mystify AI models to make them transparent and explainable


• Experience using GitHub for version control and collaboration; developing python libraries to streamline pipelines


• Experience with an object oriented language like Java


• Knowledge of libraries like S4TF a plus