Description

Bachelors degree in Computer Science, Statistics, Math, Analytics, related technical field, or equivalent practical experience. Experience reading and debugging code in one or more of the following: Java, Python, JavaScript/TypeScript, Command Line (UNIX, Windows) Conceptual knowledge of relational (eg MySQL), document (eg MongoDB) and columnar (eg Cassandra ) databases, and experience in database commands (read, write, update, delete) and scriptsUnderstanding of AI/Ml concepts - to begin with linear regression and model interpretation (mean square error, beta coefficients, etc) Working knowledge of ML frameworks - any of TensorFlow, PyTorch, and Scikit-learn Understanding of basic web technologies. Understanding of TCP/IP concepts, Unix/Linux basic administration and commands. Working knowledge of any cloud platforms - Google, Azure, AWS, at least with respect to the usage via console or command shell. Excellent troubleshooting, attention to detail, and communication skills in a fast-paced setting. Ability to learn/work with emerging technologies and solutions on the cloud. Good communication and presentation skills, with keen business sense, awareness of context and an eye for detail. Ability to problem solve and understand functional and technical requirements and document it appropriately. Preferred qualifications: Masters degree in Computer Science, Statistics, Math, Analytics or other technical/related field. Experience in machine learning, recommendation systems, natural language processing, speech recognition, computer vision, or production deployment of machine learning. Experience with exploratory data analysis, model development, and auxiliary practical concerns in production Machine Learning systems. Experience with open source distributed storage and processing utilities in the Apache Hadoop, Spark family and/or workflow orchestration products. Experience in data analytics, warehousing, ETL development, data science or other Big Data applications. Exposure to SAP suite of applications and databases. Re sponsibilities Challenge and inspire customers and peers to solve difficult problems with novel solutions, leveraging a sophisticated set of technical competences. Manage the go-to-market strategy from a technical perspective. Craft the strategy to transform the customers, identify key customer technical objections, and develop a strategy to resolve technical blockers. Work with customers to demonstrate and prototype Google Cloud product integrations in customer/partner environments. Help the Account team to close agreements from a technical perspective. Demonstrate leadership and influencing skills in the application of AI or Machine Learning and Data engineering, with the ability to lead the design and implementation of solutions Travel to customer sites, conferences, and other related events as required

Role and Responsibilities

• Bachelors degree in Computer Science, Statistics, Math, Analytics, related technical field, or equivalent practical experience. Experience reading and debugging code in one or more of the following: Java, Python, JavaScript/TypeScript, Command Line (UNIX, Windows) Conceptual knowledge of relational (eg MySQL), document (eg MongoDB) and columnar (eg Cassandra ) databases, and experience in database commands (read, write, update, delete) and scriptsUnderstanding of AI/Ml concepts - to begin with linear regression and model interpretation (mean square error, beta coefficients, etc) Working knowledge of ML frameworks - any of TensorFlow, PyTorch, and Scikit-learn Understanding of basic web technologies. Understanding of TCP/IP concepts, Unix/Linux basic administration and commands. Working knowledge of any cloud platforms - Google, Azure, AWS, at least with respect to the usage via console or command shell. Excellent troubleshooting, attention to detail, and communication skills in a fast-paced setting. Ability to learn/work with emerging technologies and solutions on the cloud. Good communication and presentation skills, with keen business sense, awareness of context and an eye for detail. Ability to problem solve and understand functional and technical requirements and document it appropriately. Preferred qualifications: Masters degree in Computer Science, Statistics, Math, Analytics or other technical/related field. Experience in machine learning, recommendation systems, natural language processing, speech recognition, computer vision, or production deployment of machine learning. Experience with exploratory data analysis, model development, and auxiliary practical concerns in production Machine Learning systems. Experience with open source distributed storage and processing utilities in the Apache Hadoop, Spark family and/or workflow orchestration products. Experience in data analytics, warehousing, ETL development, data science or other Big Data applications. Exposure to SAP suite of applications and databases. Re sponsibilities Challenge and inspire customers and peers to solve difficult problems with novel solutions, leveraging a sophisticated set of technical competences. Manage the go-to-market strategy from a technical perspective. Craft the strategy to transform the customers, identify key customer technical objections, and develop a strategy to resolve technical blockers. Work with customers to demonstrate and prototype Google Cloud product integrations in customer/partner environments. Help the Account team to close agreements from a technical perspective. Demonstrate leadership and influencing skills in the application of AI or Machine Learning and Data engineering, with the ability to lead the design and implementation of solutions Travel to customer sites, conferences, and other related events as required