Machine Learning Systems Engineer for Global Services

hace 2 semanas


Xico, México Google A tiempo completo
About Google Cloud

We accelerate organizations' ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise.

Job Description

As a Machine Learning Systems Engineer for Global Services, you will work with our customers to support the implementation of Google Cloud products through architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and more.

Responsibilities
  • Act as a trusted technical advisor to customers and solve 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 recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders.
Requirements
  • 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.
Estimated Salary Range

$120,000 - $200,000 per year, depending on location and experience.

About the Company

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.



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