Responsibilities
Implement, evaluate and optimise algorithms and models for our credit scoring engine and recommender system.
Use NLP/Machine Learning techniques including linear/logistic regression, decision trees, classification, clustering, ensembles, text mining, social networking analysis to build models.
Selecting and transforming features, building and optimizing classifiers using machine learning techniques.
Provide software design and programming support to research projects.
Required Skills
At least 2 years hands on experience in the development of machine learning based systems.
Experience working in time series forecasting, predictive forecasting, predictive modeling, cluster analysis, machine learning, social network analysis, big data and other analytical techniques over structured as well as unstructured datasets.
Ability to read, understand and implement latest research papers from top conferences like NIPS, CVPR, and ICML.
Strong Python programming skills
Ability to quickly prototype solutions and perform critical analysis.
Bonus points if you have worked with NLP & Big Data before.
Employment Type: Part-Time
Salary: $ 34.00 Per Hour
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