AI Consultant, Google Cloud Consulting

Google

3.8

Singapore

Why you should apply for a job to Google:

  • 55% say women are treated fairly and equally to men

  • 75% say the CEO supports gender diversity

  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Generous parental and caregiver leave along with fertility and growing family support.

  • Flexible work options that include a hybrid work model, four “work from anywhere” weeks, and remote work opportunities.

  • A chance to be a part of a variety of employee resource groups, community groups, and culture clubs.

  • #143076142991975110

    Position summary

    Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.

    Minimum qualifications:

    • Bachelor’s degree in Computer Science, Engineering, or related technical field, or equivalent practical experience.

    • 3 years of experience in project management and delivering technical solutions.

    • Experience in technical client service or consulting.

    • Experience with machine learning, recommendation systems, natural language processing, computer vision, pattern recognition, or artificial intelligence.

    Preferred qualifications:

    • Master's degree in Computer Science or Engineering.

    • Experience in systems design with the 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 in designing and deploying with one of the following technologies: TensorFlow, Spark ML, CNTK, Torch, Caffe, Scikit-learn.

    • Excellent communication, writing, presentation, and problem-solving skills.

    About the job

    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 customers to 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.

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

    In this role, you will travel approximately 30% of the time for client engagements.

    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.
    • Interact with Sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines for successful client outcomes.
    • Propose solution architectures and manage the deployment of cloud-based machine learning solutions according to customer requirements and implementation best practices.
    • Advocate for customer needs in order to overcome adoption blockers and drive new feature development based on your field experience.

    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. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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    About the company

    Industry: Technology: Consumer Internet

    Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. These Googlers build products that help create opportunities for everyone, whether down the street or across the globe.

    It starts with how we work together. We’re building a ...

    Why you should apply for a job to Google:

  • 55% say women are treated fairly and equally to men

  • 75% say the CEO supports gender diversity

  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Generous parental and caregiver leave along with fertility and growing family support.

  • Flexible work options that include a hybrid work model, four “work from anywhere” weeks, and remote work opportunities.

  • A chance to be a part of a variety of employee resource groups, community groups, and culture clubs.

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