Jubil ID: 40

Company: PLACE Corporate Careers

Location: Scottsdale, AZ

Description:
Minimum qualifications:• Bachelor's degree in Computer Science
Mathematics
a related technical field
or equivalent practical experience.• 9 years of experience working with client-side web technologies

Qualifications:
Bachelor's degree in Computer Science
Mathematics
a related technical field
or equivalent practical experience 9 years of experience working with client-side web technologies

Benefits:
The US base salary range for this full-time position is $171
000-$257
000 bonus equity benefits Our salary ranges are determined by role
level
and location Within the range
individual pay is determined by work location and additional factors
including job-related skills
experience
and relevant education or training

Responsibilities:
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 a Cloud AI Engineer
you will design and implement machine learning solutions for customer use cases
leveraging core Google products including TensorFlow
DataFlow
and Vertex AI You will work with customers to identify opportunities to apply machine learning in their business
travel to customer sites to deploy solutions
and deliver workshops to educate and empower customers Additionally
you will work with Product Management and Product Engineering to build and constantly lead excellence in our products You will also travel up to 30% of the time for meetings
technical reviews
and onsite delivery activities Be a trusted technical advisor to customers and solve Machine Learning issues Create and deliver best practices recommendations
tutorials
blog articles
sample code
and technical presentations adapting to different levels of business and technical stakeholders Work with customers
partners
and Google Product teams to deliver tailored solutions into production Mentor customers on the practical issues in Machine Learning systems including feature extraction
feature definition
data validation
monitoring
and management of features or models