amiliarity with analytics methods (descriptive/predictive/prescriptive) and Business Intelligence tools (Python, PowerBI, QlikSense) would be a definite plus. Strong exposure to Optimization and Operation Research methods. Exposure to Cloud technologies (e.g., Google Cloud), including executing Machine Learning algorithms on Cloud would be definite plus. Candidates should display interest and initiative in translating a business problem into an analytical problem and determining the appropriate analytical methods to be used. + Develop machine learning models and implement ML feature delivery as managed services or on device model. + Analyze and Solve Industrial Engg. / Operational Research requirements + Collaborate with data engineers to develop data and model pipelines + Write production-level code and bring code to production + Engage in code reviews + Develop and test the optimization model + Design and evaluate approaches for handling large volume of real data streams. + Improve existing machine learning models + Develop prototype for future exploration. + Produce project outcomes and isolate issues + Implement machine learning algorithms and libraries + Communicate complex processes to business leaders + Research and implement best practices to enhance existing machine learning infrastructure Masters Preferred **Requisition ID** : 40914