Enterprise AI Management Consultant

Job description

Educational Requirements Bachelor of Engineering,Master of Business Administration Service Line Infosys Consulting Responsibilities - You will need to be well spoken and have an easy time establishing productive long lasting working relationships with a large variety of stakeholders - Take the lead on data pipeline design with strong analytical skills and a keen eye for detail to really understand and tackle the challenges businesses are facing - You will be confronted with a large variety of Data Engineer tools and other new technologies as well with a wide variety of IT, compliance, security related issues. - Design and develop world-class technology solutions to solve business problems across multiple client engagements. - Collaborate with other teams to understand business requirements, client infrastructure, platforms and overall strategy to ensure seamless transitions. - Work closely with AI and A team to build world-class solutions and to define AI strategy. - You will possess strong logical structuring and problem-solving skills with expert level understanding of database and have an inherent desire to turn data into actions. - Strong verbal, written and presentation skills Additional Responsibilities - Familiarity with Rest APIs - Clear and precise communication skills - Experience with CI/CD pipelines, branching strategies, & GIT for code management - Comfortable working in Agile projects Technical and Professional Requirements - Experience in Azure Data Factory (ADF), Azure Data Brick, Azure Synapse, Azure SQL, Azure DWH, Azure Data Lake Storage / Analytics, Azure Database Migration Services - Experience of DevOps and CD/CD tools. - Bachelor's degree in computer science, information technology, or a similar field. Preferred Skills - Technology->Cloud Integration->Azure Data Factory (ADF) - Technology->AI-Data science->Data Science - Basic - Technology->AI-Data science->PYTHON - Technology->Cloud Platform->Azure Analytics Services->Azure Databricks - Technology->Cloud Platform->AWS Data Analytics - Technology->Data Engineering->Databricks - Technology->AI-Data science->Databricks Machine Learning