20 publicaciones de empleo destacadas de engineer python developer en ciudad de méxico, dif (¡Están contratando!)

Customer Engineer, Public Sector
Google —Ciudad de México, CDMX
- Inglés
- Licenciatura
- Sin título de educación superior
1d
Software Engineer, AI Agent Platform
QAD —Ciudad de México, CDMX
- Tiempo completo
- Experiencia en manufactura
- Liderazgo
- Python
17h
Lead Software Engineer
Mastercard —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- Java
13h
Senior Backend Engineer, Content Foundations
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- CAD
- SQL
- Presencial
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Salesforce Application Engineer
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Java
- Experiencia en bases de datos
Senior Software Engineer
Mastercard —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Java
- JavaScript
20h
Senior Data Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Salesforce
- Experiencia en bases de datos
DevOps Platform Engineer
EarnIn —Ciudad de México, CDMX
- Home Office (Desde casa)
- Informática
- DevOps
- Maestría
Postulación rápida
Senior Mobile Engineer (iOS & Android)
GSB —Ciudad de México, CDMX
- $120,000 por mes
- Tiempo completo
- Azure
- Inglés
- Java
Postulación rápida
12d
Software Developer, Senior
Qualcomm —Ciudad de México, CDMX
- Tiempo completo
- Informática
- DevOps
- Java
Senior Analyst Performance & Analytics
CHEP —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Microsoft Excel
- Administración de personal
- Análisis de datos
Software Development Advisor
NTT Ltd —Ciudad de México, CDMX
- Azure
- Administración de personal
- Informática
7d
Principal Engineer, DevOps
iCims —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- DevOps
- Seguro de la vista
Senior Software Manager (Hybrid CDMX)
Akkodis —Juárez, CDMX
- $200,000 a $210,000 por mes
- Tiempo completo
- Trabajo híbrido
- Inglés
- Java
- Maestría
- Seguro de gastos médicos
- Seguro dental
Postulación rápida
8d
FBS MLOps Engineer Manager
Capgemini —Ciudad de México, CDMX
- $1 por año
- Tiempo completo
- Trabajo híbrido
- Administración de personal
- DevOps
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Principal Engineer, DevOps
iCIMS Talent Acquisition —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- DevOps
- Seguro de la vista
Senior Software Engineer
Zendesk —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
Senior Software Engineer
Umba —Ciudad de México, CDMX
- DevOps
- Java
- JavaScript
Postulación rápida
Sr Advanced Cloud Developer
Honeywell —Azcapotzalco, CDMX
- Tiempo completo
- Azure
- DevOps
- Inglés
Senior Software Test Engineer
CMAS Adquirente, S. de R.L. de C.V. —Ciudad de México, CDMX
- Oracle
- Java
- Maestría
Postulación rápida
2d

Quiero recibir la alerta de empleo más reciente para engineer python developer en ciudad de méxico, dif

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Customer Engineer, Public Sector

Google -
Ciudad de México, CDMX

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Información del empleo

Hace 1 día

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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engineer python developer empleos en ciudad de méxico, dif

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Quiero recibir la alerta de empleo más reciente para engineer python developer en ciudad de méxico, dif

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