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Senior ML Cloud DevOps Engineer: Production ML on GCP

Ford Motor

Naucalpan de Juárez

Presencial

MXN 732,000 - 1,100,000

Jornada completa

Hoy
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Descripción de la vacante

A leading automotive manufacturer in Naucalpan de Juárez is seeking a Software Engineer / Data Scientist to develop scalable machine learning solutions. Candidates should have at least 2 years of experience with Python and cloud engineering, particularly in GCP. Responsibilities include deploying full-stack applications and collaborating with cross-functional teams to drive innovation in data analytics. Ideal for those looking to work on advanced AI problems in a dynamic environment.

Formación

  • 2+ years of experience with Python and Cloud Engineering.
  • Experience in software craftsmanship practices such as Paired Programming.
  • Understanding of MLOps and common machine learning frameworks is a big plus.

Responsabilidades

  • Build and deploy full-stack applications using Python and ML models.
  • Collaborate with Tech Anchor and Product Managers to deliver ML platforms.
  • Lead in using Paired Programming for cross training and problem solving.

Conocimientos

English proficiency (written and verbal)
Experience with Python
Cloud Engineering / Services (GCP Vertex AI)
Experience with ML workflow orchestration tools
DevSecOps using tools
Container management (Kubernetes, Docker)
Scripting languages (Bash, PowerShell)

Educación

Bachelor’s degree in Computer Science / Computer Engineering

Herramientas

GCP
Airflow
Kubeflow
Terraform
GitHub
Descripción del empleo
A leading automotive manufacturer in Naucalpan de Juárez is seeking a Software Engineer / Data Scientist to develop scalable machine learning solutions. Candidates should have at least 2 years of experience with Python and cloud engineering, particularly in GCP. Responsibilities include deploying full-stack applications and collaborating with cross-functional teams to drive innovation in data analytics. Ideal for those looking to work on advanced AI problems in a dynamic environment.
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