Cloud Developer I, AI/ML Professional Services,... @ Google
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About the Role
Google Cloud Consulting Professional Services is seeking a Cloud Developer I specializing in AI/ML to design and implement machine learning solutions using core Google products including TensorFlow, DataFlow, and Vertex AI. This role involves working closely with customers, partners, and product teams to deliver tailored cloud enterprise solutions and drive best practices in machine learning.
Minimum Qualifications
- Bachelor's degree in Computer Science or equivalent practical experience.
- 3 years of experience building machine learning solutions and working with technical customers.
- Experience designing cloud enterprise solutions and delivering customer projects.
- Proficient in one or more general purpose languages (Python, Java, Go, C, C++).
Preferred Qualifications
- Experience with recommendation engines, data pipelines, or distributed machine learning.
- Familiarity with deep learning frameworks such as TensorFlow, PyTorch, and XGBoost.
- Understanding of data warehousing, ETL/ELT, and analytic tools (Apache Beam, Hadoop, Spark, etc.).
- Insight into production challenges in machine learning systems.
Responsibilities
- Act as a trusted technical advisor to address machine learning challenges.
- Coach customers on feature extraction, data validation, and model monitoring.
- Collaborate with partners and product teams to deliver production solutions.
- Create best practice guidelines, tutorials, and sample code.
- Travel up to 30% for meetings, technical reviews, and onsite client engagements.
Additional Information
The application window remains open until at least September 25, 2025, and candidates can select from multiple preferred locations including Austin, TX, USA; Toronto, ON, Canada; Atlanta, GA, USA; Boulder, CO, USA; and Chicago, IL, USA. The US base salary range is $123,000-$176,000 plus bonus, equity, and benefits. Google Cloud is dedicated to diversity, equity, and inclusion.
Key Skills/Competency
- Cloud Computing
- Machine Learning
- AI Development
- Python
- Java
- Cloud Architecture
- Data Structures
- TensorFlow
- Production Systems
- Customer Engagement
How to Get Hired at Google
🎯 Tips for Getting Hired
- Research Google Cloud: Understand their services and culture.
- Customize your resume: Highlight machine learning and cloud skills.
- Prepare your portfolio: Showcase relevant projects and code.
- Practice technical interviews: Focus on algorithms and design questions.
- Network strategically: Connect with current Google employees on LinkedIn.