AI Cloud Consultant, Google Cloud Professional Services, Google

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Job Description

Google is seeking an AI Cloud Consultant to join its Google Cloud Professional Services team for assisting enterprise clients with their AI and cloud-based business transformations. The role requires the consultant to work with strategic clients for developing and implementing AI and machine learning solutions on Google Cloud. The consultant will direct technical projects while delivering architectural advice and overseeing the successful implementation of AI systems that can operate at scale, which he will accomplish through collaboration with different teams and project supporters.

Posted On: Not Specified

Qualification: Bachelor’s Degree or equivalent practical experience

Experience: 5+ years required

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Main Duties:

  • Customer technical leaders and stakeholders to create Cloud AI solutions. 
  • Machine learning architectures which can be scaled through their design work on Google Cloud. 
  • Controls AI/ML solution deployment according to established best practices and the specific needs of clients.
  • Collaborate with internal teams to develop methodologies and reusable assets.
  • Oversee project scope, risks, timelines, and deliverables for successful outcomes.

Essential Qualifications:

  • Bachelor’s degree or equivalent work experience in a relevant technical field.
  • Possess at least five years of experience in project management together with technical solution delivery work. 
  • Demonstrate experience with machine learning and natural language processing and computer vision and generative AI technologies. 
  • Capacity to perform client-facing consulting work together with technical engagement responsibilities.
  • Demonstrates effective communication abilities together with problem-solving skills needed to handle complicated technical issues.

Preferred Skills:

  • Demonstrate their ability to perform machine learning tasks through programming skills in either Python or R programming languages. 
  • Experience working with machine learning frameworks which include TensorFlow and Spark ML and Torch and Scikit-learn. 
  • Deep expertise in understanding data pipelines and analytics processes and system design architecture. 
  • Capability to convey technical solutions which require complex explanations to both technical experts and business professionals. 
  • Experience working with multiple departments while leading the implementation of large-scale projects.