Cloud AI Engineer: Enterprise ML Solutions

Google Inc.

Ciudad de México

Presencial

MXN 1.000.000 - 2.000.000

Jornada completa

Hace 2 días
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Descripción de la vacante

Google Cloud Consulting Professional Services seeks a Cloud AI Engineer in Mexico City to design and implement ML solutions for customer use cases, leveraging TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply ML in their business and travel to customer sites to deploy solutions and run workshops to empower teams.

You will collaborate with Product Management and Product Engineering to build and continuously improve Google Cloud products, acting

Formación

  • Bachelor's degree or equivalent practical experience in CS or related field.
  • Experience building ML solutions and working with technical customers.
  • Experience designing cloud enterprise solutions and delivering customer projects.
  • Strong fundamentals in data structures, algorithms, and software design.
  • Proficiency in Python and fluent English for collaboration.

Responsabilidades

  • Be a trusted technical advisor to customers and solve ML challenges.
  • Coach customers on feature extraction, data validation, monitoring and feature/model management.
  • Collaborate with Customers, Partners, and Product teams to deploy tailored solutions.
  • Create and share best practice recommendations, tutorials, and sample code.
  • Travel up to 30% for meetings, reviews, and onsite delivery.

Conocimientos

ML solutions
Cloud design
Data structures & algorithms
Python
English fluency

Educación

Bachelor's degree in Computer Science or equivalent practical experience

Herramientas

TensorFlow
DataFlow
Vertex AI

Descripción del empleo

Google Cloud Consulting Professional Services seeks a Cloud AI Engineer in Mexico City to design and implement ML solutions for customer use cases, leveraging TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply ML in their business and travel to customer sites to deploy solutions and run workshops to empower teams.

You will collaborate with Product Management and Product Engineering to build and continuously improve Google Cloud products, acting

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