12 publicaciones de empleo destacadas de data engineer ii, dash device operations en vasco de quiroga cdmx (¡Están contratando!)

Forward Deployed Engineer II, Generative AI, Global Service Delivery (English, Spanish)
Google —Ciudad de México, CDMX
- Administración de personal
- Doctorado
- Informática
Software Engineer II, Android
Crunchyroll, LLC —Ciudad de México, CDMX
- Presencial
Senior Software Engineer
Helix —Ciudad de México, CDMX
- $101,333 a $150,750 por mes
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Informática
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
1d
Salesforce Developer
Takeda Pharmaceutical —Cuajimalpa, CDMX
- Informática
- Experiencia en ventas
- DevOps
Network Design & Speed PM II, Fulfillment Experience
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Excel
- Administración de personal
- SQL
9d
Engineer II
Correlation One —Ciudad de México, CDMX
- Home Office (Desde casa)
- Microsoft Outlook
- Java
- Experiencia en bases de datos
Associate TSE II
MongoDB —Ciudad de México, CDMX
- Azure
- Servicio al cliente
- Inglés
- Permiso de maternidad y paternidad
Systems Engineer III
RELX —Ciudad de México, CDMX
- Tiempo completo
- DevOps
- Presencial
- Python
- Seguro dental
- Permiso de maternidad y paternidad
3d
Software Engineer II (Mexico)
Sezzle —Ciudad de México, CDMX
- $2,800 a $6,000 por mes
- Tiempo completo
- Home Office (Desde casa)
- Informática
- DevOps
- Experiencia en bases de datos
Capital Markets Tech Lead
GFT Technologies SE —San Miguel Chapultepec I Sección, CDMX
- Azure
- Administración de personal
- Experiencia en ventas
- Seguro dental
- Seguro de vida
Software Engineer II with Accounting Experience (Mexico)
Sezzle —Ciudad de México, CDMX
- $2,800 a $6,000 por mes
- Tiempo completo
- Home Office (Desde casa)
- Informática
- DevOps
- Java
Condition Monitoring Engineer
AssetWatch, Inc. —Ciudad de México, CDMX
- Home Office (Desde casa)
- Microsoft Office
- Experiencia en manufactura
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
9d

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Support & Deployment Engineer – Naucalpan de Juárez, Mexico | Hybrid
ATEME —Naucalpan, Méx.
Experience: Minimum 3 years in technical support, deployment, or integration (broadcast, streaming, or telecom preferred).
$30,000 a $45,000 por año
Forward Deployed Engineer II, Generative AI, Global Service Delivery (English, Spanish)
Google —Ciudad de México, CDMX
Master’s or PhD in AI, Computer Science, or a related technical field. 2 years of experience with software development using Python or similar coding languages.

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

Google -
Ciudad de México, CDMX

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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.

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data engineer ii, dash device operations empleos en vasco de quiroga cdmx

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