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Cloud AI Engineer, Global Services Delivery, Google Cloud

Google

Google

Software Engineering, Data Science
Mexico City, Mexico
Posted on Friday, May 26, 2023

Please submit your resume in English - we can only consider applications submitted in this language.

For Mexico City:

Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.


Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mexico City, CDMX, Mexico; Buenos Aires, Argentina.

Qualifications

Minimum qualifications:

  • Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
  • 2 years of experience building machine learning (ML) solutions.
  • Experience coding in one or more languages (e.g., Python, Scala, Java, Go, or similar), data structures, algorithms, and software design.
  • Experience working with technical customers.

Preferred qualifications:

  • 3 years of experience working with recommendation engines, data pipelines, or distributed machine learning.
  • Experience with deep learning frameworks (e.g., Tensorflow), Vertex AI, or Generative AI.
  • Experience in technical consulting.
  • Knowledge of Machine Learning Operations and BigQuery Machine Learning.
  • Familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance.

About the job

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

As an AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to apply machine learning in their business, travel to customer sites to deploy solutions, and deliver workshops to educate and empower customers. Additionally, you will partner with Product Management and Product Engineering to build and drive excellence in our products.

In this role, you will work with Google Cloud customers. With the team, you will support customer implementation of Google Cloud products through architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and more.

Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

  • Act as a trusted technical advisor to customers and solve complex machine learning challenges.
  • Develop and optimize machine learning models, design processing systems and orchestrate Machine Learning (ML) pipelines.
  • Work with customers, partners, and Google Product teams to deliver tailored solutions into production.
  • Create and deliver best practice recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders.
  • Mentor customers on the practical challenges in Machine Learning systems, including feature extraction/feature definition, data validation, monitoring, and management of features/models.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.