Strategic Cloud Engineer Artificial Intelligence
@ Google

Pune, Maharashtra, India
₹0
On Site
Full Time
Posted 22 days ago

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Job Details

Overview

The Strategic Cloud Engineer Artificial Intelligence role at Google involves delivering big data and machine learning solutions while serving as a trusted technical advisor to customers. You will work with Google's Cloud team to help companies, schools, and governments digitally transform and innovate using cutting-edge technologies.

Minimum Qualifications

  • Bachelor's degree in Computer Science, Mathematics, or related field
  • 6 years of experience in building Machine Learning or Data Science solutions
  • Proficient in Python, Scala, and R
  • Solid understanding of data structures, algorithms, and software design
  • Willingness to travel up to 30% of the time

Preferred Qualifications

  • Experience with recommendation engines, data pipelines, and distributed machine learning
  • Expertise in data analytics, visualization, and deep learning frameworks
  • Knowledge of data warehousing concepts and ETL/ELT processes
  • Familiarity with cloud computing, virtualization, and hosted services
  • Excellent communication skills

Responsibilities

  • Deliver big data and machine learning solutions and resolve technical challenges
  • Serve as a technical advisor for Google's customers
  • Collaborate with Product Managers and Engineers to shape Google Cloud Platform roadmaps
  • Create recommendations, tutorials, blog articles, and technical presentations
  • Drive AI engagement through thought leadership

About Google Cloud

Google Cloud enables digital transformation across over 200 countries through enterprise-grade solutions and cutting-edge technology. The team works closely with a diverse range of global customers to solve critical business challenges.

Key Skills/Competency

  • Machine Learning
  • Data Science
  • Python
  • Cloud Computing
  • Big Data
  • AI Engagement
  • Data Warehousing
  • Technical Advising
  • ETL
  • Software Design
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How to Get Hired at Google

🎯 Tips for Getting Hired

  • Customize Resume: Tailor your resume to highlight relevant skills.
  • Showcase Projects: Include cloud and AI accomplishments.
  • Research Google: Understand their culture, products, and news.
  • Prepare Tech Insights: Be ready to discuss data structures and algorithms.

📝 Interview Preparation Advice

Technical Preparation

Review Python and Scala coding challenges.
Practice machine learning algorithm problems.
Study cloud architecture and data warehousing.
Review ETL and big data processing concepts.

Behavioral Questions

Explain a project with cloud challenges.
Describe a conflict in teamwork resolution.
Share a time you led a technical discussion.
Discuss adapting to rapidly changing requirements.

Frequently Asked Questions