Cloud AI/ML Engineer for Enterprise Solutions

Google; Addison (TX); On-site; USD 152,000 - 221,000; Full time

Job summary

Google Cloud Platform is seeking a Cloud Engineer to design and implement machine learning solutions for customer use cases. You will travel to customer sites to deploy solutions and deliver workshops, helping customers realize Google Cloud’s full potential.

Responsibilities include working with technical leads and executives, scoping engagements, and delivering big data and ML solutions while influencing product roadmaps. Strong coding and cloud experience are required.

Qualifications

• Bachelor's degree in Computer Science or equivalent practical experience.
• 6 years of experience building ML solutions and working with technical customers.
• Experience coding in one or more general purpose languages (Python, Java, Go, C or C++).

Responsibilities

• Work with customer technical leads, client executives, and partners to scope, manage and deliver successful implementations of cloud solutions.
• Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines.
• Deliver effective big data and machine learning solutions and solve complex technical customer challenges.
• Identify new product features and guide the roadmap with product managers and engineers.
• Deliver best practices, tutorials, blog articles, and technical presentations to diverse stakeholders.

Skills

Python

Java

Go

C

C++

Education

Bachelor's degree in Computer Science

Tools

Google Cloud Platform (GCP)

Python

Go

Java

C/C++

Job description

Google Cloud Platform is seeking a Cloud Engineer to design and implement machine learning solutions for customer use cases. You will travel to customer sites to deploy solutions and deliver workshops, helping customers realize Google Cloud’s full potential.

Responsibilities include working with technical leads and executives, scoping engagements, and delivering big data and ML solutions while influencing product roadmaps. Strong coding and cloud experience are required.