Cloud Ai Engineer, Global Services Delivery,

hace 2 semanas

Buenos Aires, Argentina Google A tiempo completo

Mexico City, CDMX, Mexico; Buenos Aires, Argentina.

Minimum qualifications:

  • Bachelor's degree in Computer Science, Mathematics, or 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) with experience in data structures, algorithms, and software design.
  • Experience working with technical customers.

Preferred qualifications:

  • 2 years of experience working with recommendation engines, data pipelines, or distributed machine learning.
  • Experience in technical consulting.
  • Experience with deep learning frameworks (e.g., Tensorflow), Vertex AI and/or Generative AI.
  • Knowledge of MLOps and BigQueryML.

About the job:

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 practices 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 ML systems, including feature extraction/feature definition, data validation, monitoring, and management of features/models.
Google is proud to be an equal opportunity workplace and is an affirmative action employer.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law.

If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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