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Create a value chain to help address the challenges of acquiring data, evaluating its value, distilling & analyzing. Examine data from multiple sources and share insights which provide competitive advantage.
Contribute to assets / offerings and thought leadership. Act as Subject Matter Expert in area of expertise and enhance Accentures marketplace reputation.
Key Responsibilities : 1 Shld have independently managed a project technically n provided directions to team members 2 Engage with customers for solving business problems leveraging Google Cloud ML 3 Identifying applicability of Google Cloud ML to use cases with ability to project both the business n tech benefits 4 Designs,builds n productionizes ML models to solve business challenges using Google Cloud technologies n knowledge of proven ML models n techniques 5 Identify ways of integrating services into the OrgArch
Technical Experience : 1 Proficient in different aspects of model arch,data pipeline interaction n metrics interpretation 2 Exposure to GCP n its Compute,Storage,Data,NW,Security services 3 Build ML solution encompassing Google Cloud foundation setup,data exploration,production scale ML model training,evaluation n serving pipelines 4 Knowledge of serverless arch,Cloud Functions,Cloud Run,App Engine,AWS,Azure ML service 5 Exp with general purpose prog Lang such as - Java,Python is a must 6 Implement ML models using
Professional Attributes : 1 Be a self starter n a fast learner 2 Possess strong problem solving skills with the ability to methodically analyze n resolve tech challenges 3 Possess strong written, verbal,comm,analyitical,tech,inter personal n presentation skills 4 Excellent exp in interaction n handling of clients
Educational Qualification : 1 Bachelors / Masters in CS or similar discipline 2 Google Cloud Professional MLEngineer Certification
15 years of full time education