12 publicaciones de empleo destacadas de machine learning en cuauhtémoc cdmx (¡Están contratando!)

Data Architect / Engineer
Appnovation Technologies —Ciudad de México, CDMX
- Home Office (Desde casa)
- Informática
- SQL
- Licenciatura
Postulación rápida
10d
Data Engineer II, DASH Device Operations
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Preparación de alimentos
- Java
Senior Software Engineer
Umba —Ciudad de México, CDMX
- DevOps
- Java
- JavaScript
Postulación rápida
Senior AI Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Informática
- Maestría
Senior AI Engineer
The Chemours Company —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Inglés
- Microsoft Office
Desarrollador IA
Babel —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Python
- Oportunidades de crecimiento
Data Engineer Senior with GCP and Python - MX-Any City
Globant —Ciudad de México, CDMX
- Oracle
- DevOps
- SQL
9d
AI DevOps Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Azure
- Informática
BI Azure Data Engineer
Connectingology —Ciudad de México, CDMX
- $60,000 a $70,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- DevOps
- Inglés
WordPress Developer / AI Specialist
Growmodo GmbH —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- JavaScript
- HTML
Postulación rápida
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
7d

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Scientist, Consumer Science
Mondelēz International —Tlalnepantla, Méx.
Comfort working with digital tools and data platforms. Analytical rigor to interpret sensory and consumer data and reach clear, actionable conclusions.
13d
Data Engineer II, DASH Device Operations
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
Implement data models and ETL/ELT processes using best practices in dimensional modeling, data vault, or hybrid approaches on MPP data warehouses.

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Data Architect / Engineer

Appnovation Technologies -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Hace 10 días

Cualificaciones

Modelado de datos
Derecho
Informática
Estructura de datos
Taxonomía
SQL
Licenciatura
PostgreSQL
Neo4j
SharePoint
Desarrollo de software
Seguridad
Bases de datos orientadas a grafos
Python

Descripción completa del empleo

About us

Appnovation is a global, full-service digital partner that combines Strategy, Experience & Design, Engineering and Managed Services. We build digital solutions that deliver real impact today and serve as foundations for future growth. Bold ambition. Practical action. Endless possibilities.

Technology is foundational to all of Appnovation's offerings, from consulting to digital innovation, to digital product and service creation. The technology department is focused on delivering software solutions that enable rich consumer experiences, from mobile and web applications to advanced analytics and machine learning, to content and engagement management service enablement platforms.

Inherent throughout our tech capabilities is deep expertise in the Software Development Life Cycle, a drive for creativity, a passion for the craft, and collaboration with other disciplines - all foundational ingredients in successful digital experiences and client partnerships.

As a Data Architect / Engineer, you will join a highly motivated and experienced team and own both the data structures behind our graph-RAG platform and the pipelines that get content into it — modeling the knowledge and pumping it in at scale. You will define the schema, taxonomy and graph model for our knowledge domains, build resilient ingestion pipelines from enterprise content sources such as SharePoint and the wider Microsoft stack, and keep the knowledge graph accurate as source documents evolve. We are looking for people who can bring a strong, solution-focused mindset and contribute to architectural decisions, best practices and get things done.

KEY RESPONSIBILITIES

Define the schema, taxonomy, and graph modeling for the knowledge domains.
Design how documents, versions, and their machine-readable representations are structured, and how facts evolve over time (including temporal replay).
Build ingestion/ETL pipelines from enterprise content sources (e.g., SharePoint and the wider Microsoft stack), handling multimodal content (presentations, documents, transcripts).
Keep the knowledge graph in sync as source documents change frequently.
Advise on whether the current backend approach (Supabase/Postgres) is the right long-term architecture, and validate ingested content quality with QA.
Establish data quality, lineage, and governance standards across pipelines.
Build monitoring, alerting, and error-handling for ingestion jobs.
Document data models, schemas, and pipeline architecture.
Optimize pipeline cost, throughput, and reliability over time.

QUALIFICATIONS

Bachelor's Degree in Computer Science or a related field.
5+ years of experience in data engineering / architecture roles.
Deep data modeling across relational and graph paradigms; graph databases (Neo4j) and Postgres/Supabase at scale.
Strong ETL / data pipeline engineering in Python, including large-scale, incremental, and change-data ingestion.
Experience with enterprise content ecosystems: SharePoint, ideally Power Platform / Power Automate.
Knowledge representation, taxonomies/ontologies, and versioned/temporal data.
Understanding of how data structures feed RAG and LLM retrieval quality.
SQL proficiency; experience with orchestration tools (e.g., Airflow) and cloud data services.
Familiarity with data governance, security, and privacy practices.
Strong documentation and cross-team communication skills.

WHO YOU ARE

You think about how to scale, automate and operate, not just how to build a solution to an immediate problem
You understand lean thinking
You set high standards for code quality, performance/scalability and security and seek continuous improvement
You have solid analytical, problem solving and decision-making skills
You have customer first mindset and a devotion to customer service
You engage and build positive internal and external client relationships, while managing multiple initiatives, often with competing priorities
You have strong self-initiative, passion, interpersonal, oral and written communication and collaboration skills with the ability to work, influence and make an impact in a cross-functional environment with all levels of the organization
You are responsive and thrive in a fast-paced diverse high-performance environment with rapidly changing business needs
You actively seek out things outside your comfort zone with the ability to rapidly learn and take advantage of new concepts, business models, and technologies
You have prior experience in consulting
Prior experience and connections in the Life Sciences industry is preferred

Thank you for your interest in a career with Appnovation Technologies! Please note that only those selected for an interview will be contacted.

At Appnovation, we recognize that diverse teams are the strongest teams. Diversity, Equity & Inclusion is not only something that we embrace - we celebrate it! We are proud to be an Equal Opportunity Employer and we encourage applicants from all backgrounds, lived experiences and industries to apply. Come join us at Appnovation, and learn more about how we stay true to our company values as we build better lives through better digital.

Accommodations are available upon request throughout the recruitment process.

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machine learning empleos en cuauhtémoc cdmx

Data Architect / Engineer

Data Engineer II, DASH Device Operations

Senior Software Engineer

Senior AI Engineer

Senior AI Engineer

Desarrollador IA

Data Engineer Senior with GCP and Python - MX-Any City

AI DevOps Engineer

BI Azure Data Engineer

WordPress Developer / AI Specialist

Ingeniero/a de Datos Senior (Híbrido)

Senior Data Scientist, DTC

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