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Data Scientist
2 months ago
Primary Responsibilities:
Take part in end-to-end AI/ML Project Deployments that require Feasibility
Analysis, Design, Development, Validation, and applying state-of-the art Data Science
Solutions.
Develop, Deploy & Monitor end-to-end NLP Pipeline.
Gather knowhow on Datasets for NLP and Dialog Systems Training & Evaluation.
You will have to apply Advanced Analytic Techniques, in terms of Data Mining, Visualization,
Predictive Modelling, Statistics to solve complex Business Problems including
Recommender Systems, Customer Sentiment Modelling & Chatbot.
Write production ready code and deploy real time AI/ML models, expose AI/ML outputs
through APIs (Django, Flask).
Partner with Data/AI/ML engineers and Vendor Partners for input Data Pipeline
Development and AI/ML Model Automation.
Monitoring the performance of Junior Team Members and providing them with practical
guidance, as needed.
Credit risk knowledge is mandatory. Design and implement reporting and metrics that track and monitor the performance of our Projects