AI Consultant, Google Cloud Professional Services
Buenos Aires, Argentina
hace 5 días

The Google Cloud Platform team helps customers transform and build what's next for their business all with technology built in the cloud.

Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware.

Our teams are dedicated to helping our customers developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life.

As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

As an AI Consultant, you will work directly with Google’s most strategic customers on critical projects to help them transform their businesses using AI / ML technologies.

You will help them develop, deploy, and manage custom AI solutions in production using Google Cloud technologies. You will provide technical project management, consulting and technical aptitude to customer engagements while working with client executives and key technical leaders to deploy solutions via Google’s Cloud Platform.

You will also work closely with key Google partners servicing top accounts to scope engagements, manage programs, deliver consulting services, and provide technical guidance and best practice expertise.

You possess a background in developing AI solutions applying key industry tools, techniques and methodologies. To be successful, you know how to navigate ambiguity, you are a technical expert in your field, and you can deliver customer success.

You also possess excellent client-facing communication and project management skills.

Google Cloud provides organizations with leading infrastructure, platform capabilities and industry solutions. We deliver enterprise-grade cloud solutions that leverage Google’s cutting-edge technology to help companies operate more efficiently and adapt to changing needs, giving customers a foundation for the future.

Customers in more than 150 countries turn to Google Cloud as their trusted partner to solve their most critical business problems.


  • Work with customer technical leads, client executives, and partners to scope, manage and deliver successful implementations of cloud solutions becoming a trusted advisor to decision makers throughout the engagement.
  • Work with internal specialists, product and engineering teams to package 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 / issues, and timelines for successful client outcomes.
  • Advocate for customer needs in order to overcome adoption blockers and drive new feature development based on your field experience.

  • Propose solution architectures and manage the deployment of cloud based machine learning solutions according to complex customer requirements and implementation best practices.
  • Travel approximately 30% of the time for client engagements.
  • Minimum qualifications :

  • Bachelor’s degree in Computer Science, Engineering or related technical field or equivalent practical experience.
  • 5 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 demonstrating technical client service (i.e. consulting experience).
  • Preferred qualifications :

  • MBA or MS degree in Computer Science or engineering field.
  • 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 (i.e. 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.
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