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Strategic Cloud Engineer, Artificial Intelligence
Original Job Summary
About the Strategic Cloud Engineer, Artificial Intelligence Role
This role at Google Cloud involves designing and delivering big data and machine learning solutions to solve technical customer challenges. You will serve as a trusted technical advisor, work with cross-functional teams, and help shape the future of enterprise technology adoption.
Minimum Qualifications
A Bachelor’s degree in Computer Science, Mathematics or a related field with 6 years of experience in building machine learning or data science solutions. Proficiency in Python, Scala, or R along with a strong foundation in data structures, algorithms, and software design. Ability to travel up to 30% of the time.
Preferred Qualifications
Experience with recommendation engines, data pipelines, distributed machine learning, and advanced analytics, as well as data visualization techniques. Familiarity with data warehousing, ETL/ELT processes, and cloud computing infrastructure is highly valued. Excellent communication skills are required.
Responsibilities
- Deliver big data and machine learning solutions.
- Serve as a technical advisor to customers.
- Identify product feature gaps and collaborate with Product Managers and Engineers.
- Create recommendations, tutorials, blog articles, and technical presentations.
- Drive AI engagement through thought leadership.
Key Skills/Competency
- cloud
- AI
- machine learning
- data science
- Python
- big data
- analytics
- recommendation
- ETL
- distributed
How to Get Hired at Google
🎯 Tips for Getting Hired
- Research Google Cloud culture: Study their mission, values, and recent news.
- Customize your resume: Emphasize cloud, AI, and technical expertise.
- Practice technical interviews: Focus on data structures and algorithms.
- Prepare real examples: Highlight past machine learning projects.