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Senior Technical Solutions Consultant, Cloud Risk AI

5.00 to 8.00 Years   Canada (Canada)   21 Mar, 2025
Google India Pvt Ltd
Job LocationCanada (Canada)
EducationML/ LLM (Law)Any Graduate
SalaryAs per Industry Standards
IndustryInternet/Dot com/ISP
Functional AreaProduction/Manufacturing/Maintenance/Packaging
EmploymentTypeFull-time

Job Description

Senior Technical Solutions Consultant, Cloud Risk AILocation: Waterloo, ON, CanadaExperience Level: MidMinimum qualifications:

  • Bachelors degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
  • 5 years of experience in solution engineering and 3 years of experience in stakeholder management, professional services, or technical consulting.
  • 3 years of experience in technical troubleshooting and writing code in one or more programming languages.
  • Experience with all phases of a ML project delivery from data collection to production deployment at scale.
  • Experience building technical solutions with AI technologies in a cloud environment.
Preferred qualifications:
  • Masters degree in Engineering, Computer Science, or related technical fields.
  • Experience working within the financial services industry.
  • Experience in Cloud platform development.
  • Experience in the applications of Artificial Intelligence (AI) or Machine Learning (ML).
  • Excellent leadership and influencing skills.
About the jobThe Google Cloud Applied AI team focuses on innovating and developing industry solutions within top industries of cloud, including telecommunication, healthcare, retail, media, entertainment, finance, manufacturing, gaming, and public services. In this role, you will help customers transform and evolve their business through the use of Googles global network, web-scale data centers, and software infrastructure. As part of an entrepreneurial team in this rapidly growing business, you will help shape the future businesses of all sizes using technology to connect with customers, employees, and partners.Google Cloud Risk AI within Applied AI is an entrepreneurial team building high-performance, highly-available platforms to support use cases like the detection of financial crime while also looking to bring new products to market. Google Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Googles cutting-edge technology, and tools that help developers build more sustainably. 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
  • Solve complex customer use cases using Google Cloud products in concert with AI to drive customer adoption, create reusable assets (e.g. code, toolkits, training), and deliver training for new product features or solutions for customers, partners, and field teams.
  • Collaborate cross-functionally with Google Cloud Applied AI teams (e.g. product, engineering, sales, professional services, etc).
  • Discuss functional, technical, and basic commercial topics with customer stakeholders (e.g. developers, line managers) and be able to empathize, shape, and influence them.
  • Work with customer stakeholders as a trusted advisor and provide expert guidance on critical solution decisions.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Googles Applicant and Candidate Privacy Policy. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Googles EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Keyskills :
solution engineering stakeholder management technical troubleshooting ai technologies cloud environment production manufacturing action alias data collection cutting

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