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At least 6-month experience in one or more areas relevant to the knowledge engineering life cycle such as:
• natural language processing;
• information integration;
• entity resolution;
• machine learning;
• ontologies;
• large-scale data management;
• Fluent English.
Expertise:
• Basic understanding of Large Language models.
• Application experience / knowledge of statistical techniques such as regression, correlation, classification and clustering methods;
• Experienced with industrial / academic projects in data mining and machine learning methods like SVM, Regression Modeling, Survival Modeling, Time Series Modeling, Market Basket Analysis, Bayesian / Neural Networks is a plus;
• Application experience / knowledge of linear programming, mathematical optimization, CPLEX algorithm is a plus;
• Ability to conceptualize the right analytical solution and algorithms to address specific business problems;
• Application experience / knowledge and hands on coding skills in Python/R, SAS/SPSS;
• Experience in Software Development.
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