15 publicaciones de empleo destacadas de data scientist en el capulín cdmx (¡Están contratando!)

Lead, AI Security Operations Engineer
Mastercard —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Maestría
- Licenciatura
Principal AI Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Experiencia en bases de datos
Senior Analyst, Forecasting
DoorDash Mexico —Ciudad de México, CDMX
- Microsoft Excel
- Inglés
- SQL
Postulación rápida
2d
Senior Software Engineer, Windows/Desktop Applications - Mexico City, Mexico
Speechify —Ciudad de México, CDMX
- Home Office (Desde casa)
- Doctorado
- C++
- Capacitación
Sr Data Engineer - Music DISCO, Music DISCO
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Java
- SQL
- JavaScript
Project Manager - Satellite Gateway Infrastructure
AST SpaceMobile —Ciudad de México, CDMX
- Administración de personal
- Inglés
- Licenciatura
6d
Product Manager - Benchling
Zifo —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Maestría
- Licenciatura
Postulación rápida
2d
Clinical Scientist, Clinical Science, Cronos
IQVIA —Ciudad de México, CDMX
- Tiempo completo
- Inglés
- Maestría
AI DI Engineering Manager - Mexico City
ailylabs —Ciudad de México, CDMX
- Experiencia en ventas
- Liderazgo
Postulación rápida
Forward Deployed Engineer Intern
Arkham Technologies —Ciudad de México, CDMX
- Trabajo híbrido
- Informática
- SQL
- Python
Postulación rápida
Digital Media Strategist - MX
WITHIN —Ciudad de México, CDMX
- Contacto por teléfono
- Microsoft Excel
- Inglés
- Licenciatura
Sr. AI engineer
Sezzle —Ciudad de México, CDMX
- $50,000 a $120,000 por año
- Tiempo completo
- Home Office (Desde casa)
- Informática
- Experiencia en bases de datos
- SQL
AI Presales
SDG Group —Ciudad de México, CDMX
- Trabajo híbrido
- Español
- Azure
- Doctorado
Postulación rápida
Sr. AI Engineer - Marketing
Sezzle —Ciudad de México, CDMX
- $50,000 a $120,000 por año
- Tiempo completo
- Home Office (Desde casa)
- Informática
- Experiencia en bases de datos
- SQL
Data Scientist
CIAL D&B Services Inc —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Administración de personal
- Inglés
- Experiencia en bases de datos
Postulación rápida

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Lead, AI Security Operations Engineer

Mastercard -
Ciudad de México, CDMX

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Información del empleo

Tiempo completo

Cualificaciones

Derecho
Informática
Seguridad informática
Maestría
Respuesta a incidentes
Licenciatura
Seguridad

Descripción completa del empleo

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Lead, AI Security Operations Engineer

As an Information Security Engineer – AI Security Operations, you will be at the forefront of protecting the organization’s AI platforms, models, and data in active use. This role focuses on the operational security of AI systems, including continuous assessment, monitoring, testing, and response using specialized AI security tools such as AI red teaming, guardrails, model evaluation platforms, and AI Security Posture Management (AI‑SPM) capabilities.

You will apply deep technical expertise to identify, assess, and mitigate AI‑specific threats and vulnerabilities across the AI lifecycle. Working closely with AI engineering, data science, platform, and risk teams, you will help ensure the robustness, confidentiality, integrity, availability, and trustworthiness of AI‑enabled solutions.

Key Responsibilities:
AI Security Operations & Tooling

Operate and continuously improve AI security tooling, including:

o AI red team testing tools to simulate adversarial attacks against models and AI workflows
o AI guardrails and policy enforcement mechanisms to prevent misuse, data leakage, and unsafe outputs
o Model evaluation and validation platforms to assess robustness, bias, misuse risk, and control effectiveness
o AI Security Posture Management (AI‑SPM) solutions to inventory AI assets, assess risk, and monitor control coverage

Analyze findings from AI security tools and translate results into actionable remediation and risk reduction activities.
Integrate AI security tooling into broader security operations workflows, including monitoring, alerting, and incident response.

Security Architecture & Control Design

Support the design and operationalization of security architectures for AI systems, including secure model deployment patterns, data protections, and access controls.
Author and maintain secure design principles and operational security requirements for AI platforms and services.
Ensure AI security controls are measurable, testable, and enforceable in production environments.

Secure AI Lifecycle Enablement

Collaborate with data scientists, ML engineers, and software engineers to embed security controls and guardrails throughout the AI development and deployment lifecycle.
Support security reviews and approvals for AI systems transitioning from experimentation to production.
Ensure AI systems meet operational security requirements before and after deployment.

Governance, Standards & Compliance

Support implementation of AI security policies, standards, and control frameworks, aligned with NIST, ISO, and emerging AI‑specific guidance.
Track regulatory, legal, and industry developments related to AI security and contribute to control uplift where required.
Provide operational evidence and reporting to support audits, risk assessments, and governance forums.

Documentation, Reporting & Metrics

Develop and maintain standard operating procedures (SOPs), playbooks, and runbooks for AI security operations, testing, and incident response.
Produce clear security reports summarizing AI security posture, assessment outcomes, and remediation progress.
Contribute to AI security KPIs and KRIs to demonstrate operational effectiveness and risk reduction.

Advisory, Training & Enablement

Act as a trusted advisor on AI security operations and tooling, providing guidance on secure implementation and ongoing monitoring.
Provide technical training and knowledge sharing on AI threats, red teaming techniques, guardrails, and model evaluation practices.
Support internal communities of practice focused on AI security and responsible AI adoption.

Research, Experimentation & Continuous Improvement

Stay current on emerging AI threats, attack techniques, and defensive controls.
Design and execute proofs of concept (POCs) to evaluate new AI security tools, detection techniques, and operational workflows.
Continuously improve AI security operations through automation, tooling integration, and process refinement.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Information Security, Engineering, or a related field.
Strong experience in information security engineering or operations, with hands‑on exposure to AI/ML systems and associated security risks.
Practical experience working with or evaluating AI security tools, such as red team testing, guardrails, model evaluation, or AI‑SPM platforms.
Proven experience implementing defensive controls to mitigate OWASP Top 10 for LLM applications.
Proven ability to assess, test, and operationalize security controls for complex, distributed systems.
Strong analytical and problem‑solving skills, with the ability to interpret tool output and translate findings into remediation actions.
Excellent technical communication and collaboration skills to work effectively across engineering, data, and risk teams.
Relevant certifications such as CISSP, GIAC, CEH, OSCP, or cloud security certifications are highly desirable.

This role aligns to the NICE Cybersecurity Workforce Framework, with primary alignment to Security Control Assessment, Secure Systems Development, Cybersecurity Architecture, Systems Security Management, and Incident Response work roles.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

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data scientist empleos en el capulín cdmx

Lead, AI Security Operations Engineer

Principal AI Engineer

Senior Analyst, Forecasting

Senior Software Engineer, Windows/Desktop Applications - Mexico City, Mexico

Sr Data Engineer - Music DISCO, Music DISCO

Project Manager - Satellite Gateway Infrastructure

Product Manager - Benchling

Clinical Scientist, Clinical Science, Cronos

AI DI Engineering Manager - Mexico City

Forward Deployed Engineer Intern

Digital Media Strategist - MX

Sr. AI engineer

AI Presales

Sr. AI Engineer - Marketing

Data Scientist

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