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Cloud Solutions Engineer

2 months ago

Chicago, Illinois, United States Google Full time

Minimum qualifications:

Bachelor's degree in Computer Science or equivalent practical experience. A minimum of 5 years in developing machine learning solutions and collaborating with technical clients.

Proven experience in designing cloud-based enterprise solutions and guiding customer projects to successful completion.

Proficiency in one or more programming languages (e.g., Python, Java, Go, C or C++) with a solid understanding of data structures, algorithms, and software design principles.


Preferred qualifications:
Experience with recommendation systems, data processing pipelines, or distributed machine learning architectures.

Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, XGBoost). Understanding of data warehousing concepts, including technical architectures, infrastructure components, ETL/ELT processes, and reporting/analytics tools (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume). A comprehensive grasp of practical considerations in production machine learning systems.

About the role: The Google Cloud Consulting Professional Services team assists clients through pivotal moments in their cloud journey, enabling businesses to flourish.

We empower clients to transform and advance their operations by leveraging Google's extensive network, large-scale data centers, and software infrastructure.

As part of a forward-thinking team in this rapidly expanding sector, you will play a crucial role in shaping the future of businesses of all sizes, utilizing technology to connect with customers, employees, and partners.

As a Cloud AI Engineer, your responsibilities will include designing and implementing machine learning solutions tailored to customer use cases, utilizing core Google products such as TensorFlow, DataFlow, and Vertex AI.

You will collaborate with clients to identify opportunities for machine learning applications in their operations, and travel to client sites to deploy solutions and conduct workshops aimed at educating and empowering clients.

Additionally, you will work closely with Product Management and Product Engineering teams to enhance and continuously improve our offerings.

In this position, you will serve as the Google Engineer collaborating with some of Google's largest and most ambitious Cloud clients.


Together with your team, you will support the implementation of Google Cloud products through:

  • Architecture guidance
  • Best practices
  • Data migration
  • Capacity planning
  • Implementation
  • Troubleshooting
  • Monitoring
  • And much more.

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We provide enterprise-grade solutions that leverage Google's cutting-edge technology and tools that help developers build more sustainably.

Clients in over 200 countries and territories rely on Google Cloud as their trusted partner to foster growth and address their most critical business challenges.

Compensation: The US base salary range for this full-time position is $142,000-$211,000 plus bonus, equity, and benefits. Salary ranges are determined by role, level, and location.

Within this range, individual compensation is influenced by work location and additional factors, including job-related skills, experience, and relevant education or training.

For more information about benefits at Google, please refer to our benefits overview.

Responsibilities: Act as a trusted technical advisor to clients and tackle complex machine learning challenges.

Guide clients on practical challenges in machine learning systems, including:

  • Feature extraction and definition
  • Data validation
  • Monitoring
  • Management of features and models

Collaborate with Clients, Partners, and Google Product teams to deliver customized solutions into production.

Create and disseminate best practice recommendations, tutorials, blog articles, and sample code.

Travel may be required for meetings, technical reviews, and onsite delivery activities.