Job Description

Scope of Work * Working with industry, to perform feasibility studies at site and collect market needs and requirements * Conduct research and develop Proof of Concept (PoC) prototypes * Test Scope of Work Working with industry, to perform feasibility studies at site and collect market needs and requirements Conduct research and develop Proof of Concept (PoC) prototypes Testing and validating the concept by managing and executing PoC projects Publishing patents, Publishing patents, Conference articles, Journal articles and other technical documentation Devise data-driven solutions based on ML/AI techniques To incorporate domain knowledge to the solution to enhance the algorithm prediction accuracy and deal with data unavailability. Pre-requisites PhD/Master ' Engineering / Science / Mathematics / Computer Studies Minimum 5 years of experience in the field of Machine Learning, Artificial Intelligence, Data Preparation, Mathematical modelling and Simulation, Data Analytics and Optimization Experience in process/petrochemical/manufacturing industries is a big plus. A good understanding of various processes and associated equipment in these industries will be added advantage. Prior experience in practical ML/AI application for a process industry / industrial automation domain is added advantage Programming Language: Python Libraries: Pandas, Sklearn, Tensorflow, Nltk Data Analysis: Regression, Classification, Clustering Data Storage: Sql, NoSql Statistical Learning: Common Distributions, Hypothesis Testing