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About the role
Senior 6 to 8 years of relevant experience in leading and building solutions to problems like customer churn, credit risk, cognitive, MMx, propensity, cluster, anomaly using various Machine Learning, Deep Learning, and statistical techniques. Should know Databricks, azure, sql, python and pyspark, knowledge AsDE and ADF will certainly make it interesting Apart from this, they are looking for a candidate with extensive understanding on solutioning using various data sources and data types SQL, Python or R or SAS for data engineering and data science Experience in Architecting cloud native scalable AI platform Microservices architecture Data Visualization (technology agnostic) Roles Responsibilities: Artificial Intelligence solution consulting to internal and external business and technical users Translation of business problems to analytical problems based on data Design end-to-end analytics solution architecture Work with data scientists data engineers to deliver advanced analytics solutions Work with client teams to define implement measurement approach of business outcome Collaborate across multi-disciplinary teams for integrated solutions Lead and mentor data scientists Preferred Skills: Python, Machine Learning, Deep Learning, Azure Databricks
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