Google Machine Learning Cloud Consultant in Chicago, Illinois

Note: By applying to this position your application is automatically submitted to the following locations: Atlanta, GA, USA; Washington, DC, USA; Mountain View, CA, USA; Cambridge, MA, USA; San Francisco, CA, USA; New York, NY, USA; Chicago, IL, USA

As a Machine Learning Cloud Consultant, you will work directly with Google’s most strategic customers on critical projects to help them transform their businesses. You will help our customers understand how Google’s products can be used to support a wide range of data analytics and machine learning workloads. You will provide management, consulting and technical horsepower to customer engagements while working with client executives and key technical leaders to deploy solutions via Google’s Cloud Platform.

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

Google Cloud helps millions of employees and organizations empower their employees, serve their customers, 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. And 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.

  • Interact with sales/partner leads and technical stakeholders to translate complex customer requirements into recommendations for appropriate solution architectures and consulting services.
  • Participate in technical and design discussions with technical executives, acting to speed adoption and ensure best practices during implementation.
  • Provide a point of escalation for customer inquiries and serve as the first point of contact to Google for consulting services.
  • Work with customer technical leads, client executives, and partners to manage and deliver successful migrations to cloud solutions.
  • Work closely with practice areas, product and engineering to package best practices and lessons learned into thought leadership, methodologies and product strategy.

Minimum qualifications:

  • BA/BS degree in a technical or engineering field or equivalent practical experience.
  • 5 years of relevant work experience.
  • Experience with one or more of the following: machine learning, recommendation systems, natural language processing, computer vision, pattern recognition, or artificial intelligence.
  • Experience with one or more programming languages including but not limited to: Python, Java, or C/C++, R.

Preferred qualifications:

  • Master's degree in Computer Science or related technical field, or equivalent practical experience
  • 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 the following technologies: Tensor Flow, Spark ML, CNTK, Torch, Caffe
  • Systems design experience with ability to architect and explain data analytics pipelines and data flows.
  • Strong cross-functional project management, communication, and stakeholder management skills. Excellent written, verbal and presentation communication skills, with a focus on translating business requirements into technology solutions.

At Google, we don’t just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know.

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