Google Cloud Machine Learning Services Data Science Practitioner
Accenture
Pune, India
4d ago

Job Description

About Accenture : Accenture is a global professional services company with leading capabilities in digital, cloud and security.

Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services-all powered by the world's largest network of Advanced Technology and Intelligent Operations centers.

Our 514,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries.

We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at

Accenture Let there be change

We embrace change to create 360-degree value

  • Project Role : Data Science Practitioner
  • Project Role Description : Manage, architect and analyze big data in order to build data driven insights and high impact data models.
  • 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.

  • Management Level : 7
  • Must Have Skills : Google Cloud Machine Learning Services
  • Good To Have Skills : No Technology Specialization
  • Job Requirements :
  • 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

    Qualifications

    15 years of full time education

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