19 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
15h
Software Engineer, AI Agent Platform
QAD, Inc. —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Experiencia en manufactura
- Liderazgo
- Python
Postulación rápida
4h
Senior Software Engineer
Mastercard —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Java
- JavaScript
3h
Senior Software Test Engineer
CMAS Adquirente, S. de R.L. de C.V. —Ciudad de México, CDMX
- Oracle
- Java
- Maestría
Postulación rápida
1d
Senior Software Engineer
BlackLine —Ciudad de México, CDMX
- Informática
- Java
- Maestría
12d
DevOps Engineer, Enterprise Automation
Kone —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- DevOps
- Vacaciones adicionales o permisos con goce de sueldo
- Seguro de la vista
Sr Integration Developer - Bilingual
Concentrix —Ciudad de México, CDMX
- Tiempo completo
- Bilingüe
- Azure
- Administración de personal
Senior Platform Engineer
Kiwi Financial Inc —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- DevOps
- Inglés
- Linux
Senior Software Engineer
EarnIn —Ciudad de México, CDMX
- Home Office (Desde casa)
- Administración de personal
- Liderazgo
- Python
Postulación rápida
Lead Software Engineer - Full Stack Engineer
Capital One —Ciudad de México, CDMX
- Correo electrónico
- Azure
- Java
- Maestría
Security Operations Analyst
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Access
- Administración de personal
- Inglés
- Seguro de vida
Sr. Manager Software Engineering IC
Capital One —Ciudad de México, CDMX
- Correo electrónico
- Maestría
- Licenciatura
- JavaScript
Senior Payments Engineer — Acquiring & Payment Processing
Sezzle —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Informática
- DevOps
- SQL
1d
Principal Software Architect – Platform Integrations (with AI Focus)
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Azure
- Administración de personal
- Informática
- Seguro de vida
Consultor Snow Flake Senior
NetPartners International —Ciudad de México, CDMX
- Español
- Azure
- DevOps
Postulación rápida
Senior Manager, FP&A – Mexico COE
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Microsoft Excel
- Administración de personal
- ERP systems
- Seguro de vida
Java Senior Software Developer
Infosys —Ciudad de México, CDMX
- Oracle
- DevOps
- Inglés
Postulación rápida
Senior Manager, Software Engineering (People Leader)
Capital One —Ciudad de México, CDMX
- Correo electrónico
- Azure
- Administración de personal
- Java
Senior Java Developer
CMAS Adquirente, S. de R.L. de C.V. —Cuajimalpa, CDMX
- Oracle
- Informática
- Java
Postulación rápida
1d

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Customer Engineer, Public Sector

Google -
Ciudad de México, CDMX

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Información del empleo

Hace 15 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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engineer python developer empleos en ciudad de méxico, dif

Customer Engineer, Public Sector

Software Engineer, AI Agent Platform

Senior Software Engineer

Senior Software Test Engineer

Senior Software Engineer

DevOps Engineer, Enterprise Automation

Sr Integration Developer - Bilingual

Senior Platform Engineer

Senior Software Engineer

Lead Software Engineer - Full Stack Engineer

Security Operations Analyst

Sr. Manager Software Engineering IC

Senior Payments Engineer — Acquiring & Payment Processing

Principal Software Architect – Platform Integrations (with AI Focus)

Consultor Snow Flake Senior

Senior Manager, FP&A – Mexico COE

Java Senior Software Developer

Senior Manager, Software Engineering (People Leader)

Senior Java Developer

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