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AI Consultant, Google Cloud

India

Full time

Onsite

About the Role

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 strategic customers on critical projects to help them transform their businesses using AI/ML technologies. You will help our customers to develop, deploy, and manage custom AI solutions in production using Google Cloud technologies.

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

Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

  • 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, and Product and Engineering teams to package best practices and lessons learned into thought leadership, methodologies, and published assets.

  • Collaborate with Sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines for successful client outcomes, while advocating for customer needs in order to overcome adoption blockers and drive new feature development based on 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 technical field, or equivalent practical experience.

  • 7 years of experience project managing and delivering end-to-end technical solutions.

  • Experience in one or more discipline areas: machine learning, recommendation systems, natural language processing, computer insight, pattern recognition, artificial intelligence.

  • Experience with technical client service (i.e., consulting or product management).

Preferred qualifications:

  • Master's or MBA degree in Computer Science or engineering field.

  • 7 years of experience in delivering complex AI or Data Analytics projects.

  • Experience in systems design with ability to architect and explain Machine Learning Operations platforms.

  • Experience in a statistical programming language (e.g., R or Python) and applied machine learning techniques (i.e., dimensionality reduction strategies, classification, and natural language processing frameworks).

  • Ability to translate business problems in AI projects.

  • Excellent communication, written, presentation, and problem solving skills.


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