5 publicaciones de empleo destacadas de machine learning en ciudad de méxico, dif (¡Están contratando!)

Forward Deployed Engineer II, Generative AI, Global Service Delivery (English, Spanish)
Google —Ciudad de México, CDMX
- Administración de personal
- Doctorado
- Informática
Senior Data Engineer
Arkham Technologies —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Licenciatura
- Python
Postulación rápida
Ingeniero de Datos Inversiones Alternativas - Publicación vencida
Sura —Cuauhtémoc, CDMX
- $68,000 por año
- Microsoft Excel
- Inglés
- SQL
Ingeniero/a de Datos Senior (Híbrido)
SimplePractice —Ciudad de México, CDMX
- Informática
- DevOps
- Ingeniería
- Gastos de reubicación
- Seguro dental
Postulación rápida
Senior Data Scientist, DTC
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Doctorado
- Informática
- Maestría
Postulación rápida
5d

Discover related jobs

Based on your search for machine learning jobs.

Consultor de Datos y Tecnología
Grupo Salinas —Tlalpan, CDMX
Además, el Ingeniero de Datos colabora estrechamente con diversos equipos, desde analistas hasta desarrolladores y científicos de datos, asegurando que los…
$33,000 a $35,000 por mes
Postulación rápida
Científico de Datos – Investigación de operaciones
BUSCA TALENTO —Loreto, CDMX
De lunes a viernes de 9:00 am a 7:00 pm. SQL intermedio para extracción y transformación de datos. Desarrollar y mantener pipelines de datos para análisis…
$38,000 por mes
Postulación rápida
2d

Quiero recibir la alerta de empleo más reciente para machine learning en ciudad de méxico, dif

Al ingresar a tu cuenta, aceptas las Condiciones del servicio de SimplyHired y das tu consentimiento a nuestra Política de privacidad y Cookies.

Explorar empleos en más ubicaciones

machine learning jobs near ciudad de méxico, dif

Empleos de Data Engineer en Guadalajara, JAL.

Empleos de Next Data en Querétaro, QRO.

Empleos de Data Analyst en Querétaro, QRO.

Empleos de Project Engineer en San Luis Potosí, S. L. P.

Empleos de Data Engineer en Vallarta Poniente, JAL.

Empleos de Data Engineer en Desde Casa

Empleos de Amazon Data Services Mx, S De en Lerma De Villada, Méx.

Empleos de Embedded Software Engineer en Guadalajara, JAL.

Empleos de Data Engineer en Coyoacán, Cdmx

Empleos de Data Engineer en Jalisco

Empleos de Data Entry en Ciudad De México

Empleos de Data Analytics en Ciudad De México

Empleos de Junior Data Analyst en Ciudad De México

Empleos de Senior Data Analyst en Ciudad De México

Empleos de Senior Data Scientist en Miguel Hidalgo, CDMX

Empleos de Forward Deployed Engineer en Ciudad De México

Empleos de Devops Engineer en Ciudad De México

Empleos de Aws Cloud Engineer en Ciudad De México

Forward Deployed Engineer II, Generative AI, Global Service Delivery (English, Spanish)

Google -
Ciudad de México, CDMX

Postúlate ahora

Información del empleo

Cualificaciones

TensorFlow
Go
Administración de personal
Derecho
Doctorado
Informática
PyTorch
Plurilingüe
Inglés
Google Cloud Platform
Maestría
Licenciatura
Desarrollo de software
Python
Debugging

Descripción completa del empleo

In most instances, this position requires in-person interviews as part of the hiring process.

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.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mexico City, CDMX, Mexico; Buenos Aires, Argentina.

Minimum qualifications:

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
2 years of experience with software development using Python or similar coding languages.
Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP).
Experience building pipelines for structured and unstructured data using both vector databases and Retrieval-Augmented Generation (RAG)-like architectures to power enterprise AI solutions.
Ability to communicate in Spanish and English fluently to support client relationship management in this region.

Preferred qualifications:

Master’s or PhD in AI, Computer Science, or a related technical field.
Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
Experience leading technical discovery sessions.
Knowledge of "Large Language Model (LLM)-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

About the job

As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. You will function as an "innovator-builder," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. Your role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity. By embedding with strategic accounts, you serve a dual purpose: providing "white glove" deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll leverage Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.

Responsibilities

Design, develop, test, deploy, maintain, and improve machine learning models and AI software components.
Implement and optimize ML algorithms using frameworks like TensorFlow, PyTorch, JAX, or others.
Work with large-scale datasets, leveraging Google's infrastructure for data preprocessing, feature engineering, and model training.
Collaborate closely with product managers, researchers, and other engineering teams to translate product requirements into technical solutions.

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.

Postúlate ahora

Refina tu búsqueda

machine learning empleos en ciudad de méxico, dif

Forward Deployed Engineer II, Generative AI, Global Service Delivery (English, Spanish)

Senior Data Engineer

Ingeniero de Datos Inversiones Alternativas - Publicación vencida

Ingeniero/a de Datos Senior (Híbrido)

Senior Data Scientist, DTC

Discover related jobs

Quiero recibir la alerta de empleo más reciente para machine learning en ciudad de méxico, dif

Related Searches

Explorar empleos en más ubicaciones

Minimum qualifications:

Preferred qualifications:

About the job

Responsibilities

Herramientas para candidatos

Herramientas para empresas

Explorar

Mantente conectado