AI/ML Cloud Consultant, Professional Services, Google Cloud

Job Category: Cloud Consultant
Job Type: Full Time
Job Location: United States
Company Name: Google

We are looking for a AI/ML Cloud Consultant to join our team

Minimum qualifications:

  • Bachelor’s degree in Computer Science, Information Systems, related technical field, or equivalent practical experience.
  • 3 years of experience project managing and delivering technical solutions.
  • Experience in one or more discipline areas: machine learning, recommendation systems, natural language processing, computer vision, pattern recognition, or artificial intelligence.
  • Experience with technical client service (e.g. consulting experience).

Preferred qualifications:

  • Experience in systems design with ability to architect and explain data analytics pipelines and data flows.
  • Experience in a statistical programming language like R or Python and applied machine learning techniques (e.g. dimensionality reduction strategies, classification, and natural language processing frameworks).
  • Experience designing and deploying with one or more from the following technologies: TensorFlow, Spark ML, CNTK, Torch, Caffe, Scikit-learn.
  • Demonstrate excellent communication, written, presentation and problem solving skills.

Responsibilities

  • Work with customer technical leads, client executives, and partners to scope, manage and deliver successful implementations of Cloud AI solutions, becoming a trusted advisor to decision makers throughout the engagement.
  • Propose solution architectures and manage the deployment of cloud based machine learning solutions according to complex customer requirements and implementation best practices.
  • Work with internal specialists, Product, and Engineering teams to package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets.
  • Interact with Sales, Partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines for successful client outcomes.
  • Travel approximately 30% of the time for client engagements.

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