Cloud Consultant II, AI/ML, Google Cloud at Google

Role Overview
This is a Professional Services role within Google Cloud. Unlike a core engineering role focused on building Google's products, this position is customer-facing. You will act as a technical advisor and implementation lead, helping strategic enterprise clients design and deploy AI/ML solutions using Google Cloud Platform (GCP).

Key Responsibilities
Consulting & Delivery: Work directly with client executives and technical leads to scope and deliver AI projects.

Solution Deployment: Architect and deploy machine learning pipelines using tools like TensorFlow and Spark ML.

Project Management: Manage timelines, risks, and deliverables for complex customer engagements.

Travel: Requires up to 30% travel to client sites.

Demographics & Representation at Google
Google publishes annual diversity data. As of the 2024 Google Diversity Annual Report, the workforce demographics for U.S. hiring and overall representation are as follows:

Overall U.S. Workforce by Race/Ethnicity (2024):

Asian: 47.3%

White: 41.6%

Hispanic / Latinx: 6.3%

Black / African American: 3.6%

Native American: 0.6%

U.S. Leadership Representation (2024):

Asian: 36.6%

White: 52.3%

Black / African American: 4.4%

Hispanic / Latinx: 4.1%

Native American: 0.6%

Global Gender Representation (2024):

Men: 73.7% in Tech roles; 62.7% Overall.

Women: 26.3% in Tech roles; 37.3% Overall.

Technical Focus
The role requires a blend of soft skills (consulting) and hard skills (ML engineering).

Core Concepts: Recommendation systems, NLP, pattern recognition.

Tools: TensorFlow, PyTorch, Spark ML, Scikit-Learn.

Languages: Python or R.

Compensation Structure
Google's compensation for this level (Consultant II) typically includes:

Base Salary: Market-dependent (see ranges above).

GSUs (Google Stock Units): A significant component of total compensation, vesting over time.

Google Bonus Plan: Annual performance-based cash bonus