20 publicaciones de empleo destacadas de customer engineer, public sector en ciudad de méxico, dif (¡Están contratando!)

Customer Engineer, Public Sector
Google —Ciudad de México, CDMX
- Inglés
- Licenciatura
- Sin título de educación superior
7h
Entry Level Technical Support Engineer
Microsoft —Ciudad de México
- Tiempo completo
- Informática
- Experiencia en ventas
- Servicio al cliente
Application Engineer Intern
Schweitzer Engineering Laboratories, S.A. de C.V. —Ciudad de México
Postulación rápida
5d
Customer Solutions
McMaster-Carr —Los Ángeles, CDMX
- Licenciatura
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Strategic Student Program (SSP) - Application Support Engineer Intern
Siemens —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Administración de personal
- CAD
- Inglés
Technical Support Engineer Jr.| Pre-Sales / Post-Sales | Telemetry and Tracking Solutions
Meride SA de CV —Coyoacán, CDMX
- $14,000 a $16,000 por mes
- Tiempo completo
- Experiencia en ventas
- Inglés
- Microsoft Office
Postulación rápida
Customer Integration Engineer (Contractor)
Hello Patient —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Azure
- Inglés
- Desarrollo de software
Postulación rápida
Systems Engineer - Must Reside in Mexico City
Extreme Networks —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Informática
- Experiencia en ventas
- Inglés
- Plan de adquisición de acciones empresariales
- Seguro dental
Postulación rápida
IT Desk-Side Support
Integreon Intermediate LLC —Juárez, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Informática
- Servicio al cliente
- Microsoft Office
- Seguro dental
- Seguro de la vista
Renewable Energy Engineer
DNV —Ciudad de México, CDMX
- Tiempo completo
- Capacitación
Application Engineer I
TI Fluid Systems —Ciudad de México, CDMX
- Microsoft Office
- Disponible para viajar
React Engineer - Remote, Latin America
Bluelight Consulting —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Licenciatura
- Desarrollo de software
- Vacaciones adicionales o permisos con goce de sueldo
Site Reliability Engineer II
Medallia —Cuauhtémoc, CDMX
- Tiempo completo
- Administración de personal
- DevOps
- Inglés
10d
#119832 - Junior Manual QA Engineer (Manual/API Testing)
Lifted, an Upwork Company™ —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- SQL
Postulación rápida
IT Engineer
Tellusicom INC —Ciudad de México, CDMX
- $25,000 a $40,000 por mes
- Tiempo completo
- Informática
- Mantenimiento
- Inglés
Postulación rápida
#119833 - Mid-Level QC Manual Engineer
Lifted, an Upwork Company™ —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- SQL
Postulación rápida
Data Science and Machine Learning Engineer
ETAP —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Experiencia en bases de datos
- SQL
10d
Software Engineer (Backend), Content Foundations
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- CAD
- SQL
- Presencial
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Associate Field Service Engineer
Elekta —Ciudad de México, CDMX
Customer Support Engineer
Paymentology —Ciudad de México, CDMX
- Incluye fines de semana
- Home Office (Desde casa)
- Informática
- Inglés
- SQL

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Customer Engineer, Public Sector

Google -
Ciudad de México, CDMX

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Información del empleo

Hace 7 horas

Cualificaciones

Modelos de inteligencia artificial
TensorFlow
Derecho
Kubernetes
PyTorch
Inglés
Google Cloud Platform
Docker
Licenciatura
Desarrollo de software
Seguridad
Python

Descripción completa del empleo

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

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.

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
10 years of experience in AI/ML development, AI infrastructure engineering, or software development.
5 years of experience with containerization (e.g., Docker) and orchestration (e.g., Kubernetes).
5 years of experience with Python and with libraries like PyTorch, TensorFlow, or Hugging Face Transformers.
Ability to travel up to 25% of the time as needed.
Must possess an active Top Secret/SCI security clearance with current polygraph.

Preferred qualifications:

5 years of experience in AI/ML research or software development.
Experience with LLM deployment frameworks such as vLLM, NVIDIA Triton, or Ollama and agent development.
Knowledge of open worldwide application security project (OWASP) for LLMs or similar security frameworks.
Familiarity with cloud-native AI services (e.g., cloud computing platform, Google Vertex AI).
Track record of deploying AI models on air-gapped or on-premises high-performance computing (HPC) systems.

About the job

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. 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

Architect and manage Large Language Model (LLM) deployments across on-premises (NVIDIA/AMD) and cloud (cloud computing platform, Google Cloud platform (GCP) environments. Audit multi-agent orchestration, agent construction, and vector databases to map data flows and enforce privilege boundaries.
Use Docker and Kubernetes to orchestrate scalable inference and training environments, optimizing Graphics Processing Unit (GPU) utilization and resource isolation.
Protect model weights, secure data ingestion, and harden inference endpoints across the Machine Learning operations (MLOps) lifecycle. Investigate and mitigate AI-specific threats (e.g., prompt injection, jailbreaking, data poisoning). Map testing findings to MITRE ATLAS, OWASP for LLMs, and STRIDE models.
Bridge local high-compute clusters and cloud AI services while maintaining a consistent security posture.

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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customer engineer, public sector empleos en ciudad de méxico, dif

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Quiero recibir la alerta de empleo más reciente para customer engineer, public sector en ciudad de méxico, dif

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