20 publicaciones de empleo destacadas de artificial intelligence engineer en ciudad de méxico, dif (¡Están contratando!)

Software Engineer, Education Analytics
Google —Ciudad de México, CDMX
- Doctorado
- Informática
- Inglés
12d
AI Engineer - Forward Deployed Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Java
- JavaScript
Solution Engineer- Copilot
Microsoft —Ciudad de México
- Tiempo completo
- Azure
- Informática
- Experiencia en ventas
Data Engineer/Data Analyst | Trailhead Content Activation and Business Outcomes
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Experiencia en ventas
- Salesforce
- Inglés
- Permiso de maternidad y paternidad
9d
Data Engineer
NielsenIQ —Ciudad de México, CDMX
- $35,000 a $46,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Inglés
- SQL
Postulación rápida
Analytics Engineer
PayJoy —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Mantenimiento
- Inglés
1d
Machine Learning Engineer
Key Prediction —Ciudad de México, CDMX
- $40,000 a $45,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Informática
- Maestría
Postulación rápida
Software Engineer, Languages and Platforms
Google —Ciudad de México, CDMX
- Inglés
- C++
- Licenciatura
AI / ML Engineer Lead
Accenture —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Inglés
1d
Salesforce Software Engineer - Integration Engineering SMTS
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Informática
- Salesforce
AI Engineer
DXC Technology —Ciudad de México, CDMX
- Oracle
- Administración de personal
- Salesforce
5d
AI Data Solution Engineer
ERM Group —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Excel
- Administración de personal
- Experiencia en bases de datos
4d
Software Engineering Analyst - Keynote Demos
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Salesforce
- JavaScript
- HTML
Software Engineer, Compilers, Runtimes and Toolchains, Early Career
Google —Ciudad de México, CDMX
- Inglés
- C++
- Licenciatura
Senior Software Engineer, Chrome Test Infrastructure
Google —Ciudad de México, CDMX
- Doctorado
- Informática
- Inglés
10d
Mobile Software Engineer, Multiplatform, Early Careers
Google —Ciudad de México, CDMX
- Inglés
- Java
- C++
Senior Data Center Engineer - MX - 2026
Nubank —Ciudad de México, CDMX
- Tiempo completo
- AutoCAD
- Inglés
- Microsoft Office
- Seguro dental
- Seguro de la vista
Postulación rápida
AI/ML Engineer Sr.
RED AMIGO DAL S.A.P.I. of C.V. S.O.F.O.M. E.N.R —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Informática
- Ingeniería
- SQL
Postulación rápida
5d
Software Developer | AI-Driven Engineering
Cobalto Talent —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- DevOps
Postulación rápida
Technical Success Architect
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Experiencia en ventas
- Salesforce
- Java
2d

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Software Engineer, Education Analytics

Google -
Ciudad de México, CDMX

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Información del empleo

Hace 12 días

Cualificaciones

Go
Doctorado
Informática
CSS
Estructura de datos
Inglés
Java
Maestría
Algoritmos
C++
Licenciatura
JavaScript
NLP
Desarrollo de software
Investigación de usuarios
TypeScript
Python
HTML

Descripción completa del empleo

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

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.

Please submit your resume in English - we can only consider applications submitted in this language.

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
2 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
Experience developing web-based applications.

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with data structures and algorithms.
Work experience with general purpose languages such Java, have experience scaling and productionizing data processing pipelines.
Understanding of how to effectively work within and across team or sub-teams boundaries, in particular with other shared infrastructure teams.
Be capable of working with our customers and partners to help deliver on our commitments.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The Education Analytics team builds data solutions for education leaders and teachers, delivering impactful, high-level insights. Education analytics is complex and technically challenging, leaders need secure, cost-effective insights from scattered, disparate data.

Our team enables educators to understand and act on their data, improving learning outcomes worldwide while driving new business.

In this role, you will help bring our goal to life. Beyond our roadmap, you will be empowered to execute your own ideas to drive key metrics like adoption and engagement.

Google plays an important role in education around the world – with hundreds of millions of students using Google Classroom, Google Workspace, Chromebooks, YouTube, and more. In addition to powering these core products, we’re experimenting with new tools to advance the boundaries of how education leaders understand and guide their schools, staff, and students.

For more information, see the Google for Education site.

Responsibilities

Design and build new software systems spanning data processing, infrastructure, deployment, and development.
Collaborate closely with cross-functional partners in user research, design, and product to understand educators’ needs, and to translate them into the right technical decisions and systems.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Work with partner engineering teams across Learning and Education and elsewhere in Google to ingest, analyze, and surface key sources of education data into the Analytics platform.
Contribute to a team culture, to improve and sustain our culture and operations, making Google a better place to work.

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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