11 publicaciones de empleo destacadas de full stack engineer en ciudad de méxico (¡Están contratando!)

AI/ML Security Engineer
Arrivia, Inc. —Del Valle Centro, CDMX
- Informática
- Inglés
- Maestría
Engineering Manager
Smartly —Ciudad de México, CDMX
- Liderazgo
Postulación rápida
Hyper-V / SCVMM Migration Specialist
Arcadion —Colonia Polanco, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Inglés
Postulación rápida
Sr. Product Engineer
Nolte —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- JavaScript
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Ingeniero de Datos – Google Cloud Platform (GCP)
Hogares Unión —Ciudad de México, CDMX
- Inglés
- SQL
- Python
Postulación rápida
14d
Project Lead
ALTEN MÉXICO —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Java
- Licenciatura
- Seguro de la vista
Postulación rápida
Senior GTM Systems Manager
Karat —Ciudad de México, CDMX
- Home Office (Desde casa)
- Experiencia en ventas
- Salesforce
AI Fullstack
PALO IT —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Experiencia en bases de datos
- SQL
- Python
Postulación rápida
8d
GTM Engineer
Peek —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Salesforce
- SQL
- JavaScript
Creative Marketing & AI Specialist
elev8.io —Ciudad de México, CDMX
- Home Office (Desde casa)
Postulación rápida
Senior Software Engineer (AI-Native) (Full-time Contractor)
Nerdy —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Inglés
- Java
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida

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Experiencia colaborando directamente con directores o posiciones ejecutivas. Administrar múltiples iniciativas simultáneamente, asegurando que los recursos y…
$35,000 a $50,000 por mes
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Site Engineering Team Leader
Siemens —Ciudad de México, CDMX
Experiencia mínima de 5 años en Field Service. Dar soporte técnico a las áreas de Sales, Project Manager, Engineering y equipo de C&C.

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AI/ML Security Engineer

Arrivia, Inc. -
Del Valle Centro, CDMX

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Información del empleo

Cualificaciones

TensorFlow
Informática
Ingeniería de software
Kubernetes
PyTorch
NoSQL
Inglés
Sistemas de información
Maestría
SQL
Respuesta a incidentes
Docker
Licenciatura
NLP
Django
Seguridad
Kafka
Flask
Ciberseguridad
Habilidades de comunicación
Python

Descripción completa del empleo

At arrivia, we specialize in making brands better through the power of travel, combining decades of experience with a constant drive for technology innovation. While our physical offices span the globe, we are looking for a highly skilled, remote-first engineer to join our team. This specific role is a fully remote opportunity based within Mexico.

This role sits at the intersection of machine learning, cybersecurity, and full-stack engineering. You won't just be monitoring dashboards; you’ll be architecting intelligent defenses that keep our members and data safe from evolving digital threats by building high-scale, real-time security systems.

The Opportunity

As a core member of our IT Operations team, reporting to the Security Ops Lead, you will design, build, and deploy AI-driven systems that detect and neutralize fraud, abuse, and intrusion. You will have the opportunity to apply anomaly detection, graph analysis, and NLP to real-world security challenges, ensuring our "customer-first" culture is backed by reliable, high-performance safety measures.

What You’ll Do

Design & Architect: Implement and scale AI/ML models to proactively detect, prevent, and respond to security threats such as identity risk, fraud, malware, and insider anomalies.
System Reliability: Build and maintain robust data ingestion, feature engineering, and real-time streaming pipelines (e.g., utilizing SQL/NoSQL databases and messaging frameworks like Kafka) to process high volumes of security events.
Deploy Microservices: Integrate AI security models directly into production workflows by developing high-performance, low-latency APIs and microservices (using frameworks like FastAPI, Flask, or Django).
Adversarial Research: Analyze adversarial attacks, threat modeling, and secure model design to adapt our defenses under evolving threat scenarios.
Automated Response: Enhance automated incident response, accelerating remediation workflows to significantly reduce manual threat investigation cycles.
Collaborative Impact: Partner with DevSecOps and Platform teams to build MLOps pipelines and embed AI-driven protections directly into containerized environments (Docker/Kubernetes).

Who You Are

Skilled in Modern Tech: You have a solid foundation in Python, SQL, and ML frameworks like PyTorch, TensorFlow, or scikit-learn.
Experienced with Distributed Systems: You are comfortable working with large-scale data systems, stream processing, and containerized deployments using AWS, Docker, and Kubernetes.
Security Focused: You bring a strong background in cybersecurity, fraud detection, trust & safety, or threat intelligence, alongside a deep understanding of secure system design and OWASP principles.
API & Backend Specialist: You have proven experience designing robust, scalable microservices capable of handling strict latency and reliability constraints.
Analytical Problem-Solver: You can effectively balance the trade-offs between rigorous security, high system performance, and a positive user experience.
Growth Mindset: You enjoy staying up-to-date with secure AI frameworks (such as ISO/IEC 42001 or OWASP) and exploring advanced methods like time-series anomaly detection and graph analysis.

Qualifications

Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (Master's preferred).
5+ years of software engineering experience, with a heavy focus on backend architecture, API design, and distributed systems.
3+ years of experience in cybersecurity, fraud detection, trust & safety, or abuse prevention.
2+ years of hands-on experience building and deploying machine learning models in a production environment.
High proficiency in English with strong collaboration and communication skills.
Must be based in Mexico and available to work remotely.

Why Join arrivia?

At arrivia, we Stay Curious, Keep it Real, and Win Together. We offer a collaborative, inclusive environment where your work directly impacts how millions of people experience the world.

If you are ready to apply your AI and security expertise to a global mission from the comfort of your home office in Mexico, we’d love to hear from you.

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full stack engineer empleos en ciudad de méxico

AI/ML Security Engineer

Engineering Manager

Hyper-V / SCVMM Migration Specialist

Sr. Product Engineer

Ingeniero de Datos – Google Cloud Platform (GCP)

Project Lead

Senior GTM Systems Manager

AI Fullstack

GTM Engineer

Creative Marketing & AI Specialist

Senior Software Engineer (AI-Native) (Full-time Contractor)

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