17 publicaciones de empleo destacadas de machine learning en coacalco méx. (¡Están contratando!)

Business Intelligence Developer I, Google Cloud
Google —Ciudad de México, CDMX
- Experiencia en ventas
- Inglés
- Maestría
3h
Forward Deployed Engineer Intern
Arkham Technologies —Ciudad de México, CDMX
- Trabajo híbrido
- Informática
- SQL
- Python
Postulación rápida
Ingeniero/a de Datos Senior (Híbrido)
SimplePractice —Ciudad de México, CDMX
- Informática
- DevOps
- Ingeniería
- Gastos de reubicación
- Seguro dental
Postulación rápida
Senior AI Engineer
The Chemours Company —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Inglés
- Microsoft Office
Ingeniero de Datos Inversiones Alternativas - Publicación vencida
Sura —Cuauhtémoc, CDMX
- $68,000 por año
- Microsoft Excel
- Inglés
- SQL
ML Ops Engineer Sr
Ucloud —Ciudad de México, CDMX
- Experiencia en manufactura
- Python
Postulación rápida
Senior AI Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Informática
- Maestría
Data Scientist II
The Nielsen Company —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Oracle
- DevOps
- SQL
Postulación rápida
8d
DevOps Engineer (Data & AI Platform)
SimplePractice —Ciudad de México, CDMX
- $1,124,480 a $1,405,600 por año
- DevOps
- Python
- Seguro dental
- Seguro de la vista
Postulación rápida
6d
Senior Software Engineer
Umba —Ciudad de México, CDMX
- DevOps
- Java
- JavaScript
Postulación rápida
CYBERSECURITY SPECIALIST
PROXIM —Ciudad de México, CDMX
- Tiempo completo
- Python
Senior Frontend Engineer (React Native)
Lendable —Ciudad de México, CDMX
- Tiempo completo
- Inglés
- Presencial
Senior Data Engineer
Arkham Technologies —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Licenciatura
- Python
Postulación rápida
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
la26.042 - Data Engineer
Tiger Analytics Inc. —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
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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Forward Deployed Engineer Intern
Arkham Technologies —Ciudad de México, CDMX
Unify fragmented systems and data. Build a single source of trusted operational metrics. Solve complex challenges with AI tailored to their operations.
Postulación rápida

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Business Intelligence Developer I, Google Cloud

Google -
Ciudad de México, CDMX

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Información del empleo

Hace 3 horas

Cualificaciones

Looker
Power BI
Modelado de datos
Data mining
Go
Experiencia en ventas
Inglés
Tableau
Maestría
SQL
Licenciatura
JavaScript
Python
HTML

Descripción completa del empleo

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.

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
4 years of experience in data modeling, developing data sets, or creating data visualizations.
Experience writing SQL queries.
Experience using BI tools like Looker, Tableau, or Power BI to create visualizations and dashboards.

Preferred qualifications:

MBA, Master's degree, or advanced degree in a technical or scientific field of study.
Experience supporting data-driven sales operations, consulting, or program management and strategic cross-functional BI initiatives in a cloud business.
Experience with scripting languages such as Python, Go, JavaScript, or HTML for data manipulation, analysis, and automation.
Experience working with systems for collaborative code reviews including version control.
Experience developing AI agents.
Familiarity with statistical modeling, machine learning, or data mining techniques.

About the job

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The Performance and Continuous Excellence (PACE) Intelligence team is the global Business Intelligence (BI) foundation of Google Cloud, designed to accelerate sales growth through AI agents, advanced reporting, and streamlined performance management. We are responsible for building the semantic source of truth for the business, delivering reporting capabilities that serve over 10,000 sellers across the cloud Go-to-Market (GTM) organization. By empowering GTM and Regional teams with scalable insights, a resilient data layer, and innovative Key Performance Indicators (KPIs), we enable our sellers to deeply understand their book of business and bring the very best of Google to their customers. Ultimately, our mission is to drive business success and execute our cloud strategy through an insights-led ecosystem of dashboards, agents, and expert analysts.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

Transform data into actionable insights by developing data models, data marts, and automating reporting processes to provide leadership with a clear picture of key business and process performance.
Develop, test, and maintain AI agents that integrate with existing data pipelines to scale the generation and delivery of actionable business intelligence.
Develop data infrastructure, which includes building SQL scripts, creating data pipelines, data warehouses, crafting investigative models, and designing user-friendly dashboards.
Lead assigned projects from conceptualization to delivery and ensure your data solutions offer relevant, high-quality data and insights to propel the growth of the business.

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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machine learning empleos en coacalco méx.

Business Intelligence Developer I, Google Cloud

Forward Deployed Engineer Intern

Ingeniero/a de Datos Senior (Híbrido)

Senior AI Engineer

Ingeniero de Datos Inversiones Alternativas - Publicación vencida

ML Ops Engineer Sr

Senior AI Engineer

Data Scientist II

DevOps Engineer (Data & AI Platform)

Senior Software Engineer

CYBERSECURITY SPECIALIST

Senior Frontend Engineer (React Native)

Senior Data Engineer

Sr. AI engineer

la26.042 - Data Engineer

Sr. AI Engineer - Marketing

Data Scientist

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