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

Ingeniero Senior, Datos Industriales
Constellation Brands —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
Experto Sr. en Ingeniería de Inteligencia de Datos
Alia Integrando Talento —Ciudad de México, CDMX
- Aplicaciones en linea
- Ingeniería
- Inglés
- SQL
Postulación rápida
CONSULTOR C2 INGENIERO ML
Gentera —Ciudad de México, CDMX
- Python
- Seguro de vida
EXPERTO SR EN INGENIERIA DE INTELIGENCIA DE DATOS
Grupo BMV —Ciudad de México, CDMX
- Ingeniería
- Inglés
- Java
Data Analyst, Supply Chain
Serve Robotics —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Microsoft Excel
- Administración de personal
- Análisis de datos
Senior Data Scientist – Procurement (m/f/d)
PPG —Miguel Hidalgo, CDMX
- Tiempo completo
- Azure
- ERP systems
- SQL
Postulación rápida
Senior Data Engineer
Arkham Technologies —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Licenciatura
- Python
Postulación rápida
Sr Data Engineer - Music DISCO, Music DISCO
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Java
- SQL
- JavaScript
Senior AI Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Informática
- Maestría
0151 - Python Developer Mid
ALTEN MÉXICO —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Ingeniería
- Microsoft Office
- SQL
Postulación rápida
Ingeniero de Datos Senior – GCP
Capital Empresarial Horizonte —Benito Juárez, CDMX
- $60,000 a $90,000 por mes
- Tiempo completo
- Azure
- Oracle
- DevOps
Postulación rápida
1d
Business Intelligence Developer I, Google Cloud
Google —Ciudad de México, CDMX
- Experiencia en ventas
- Inglés
- Maestría
Desarrollador IA
Babel —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Python
- Oportunidades de crecimiento
la26.042 - Data Engineer
Tiger Analytics Inc. —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
Postulación rápida
AI DevOps Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Azure
- Informática
Senior AI Engineer – Python / FastAPI / GenAI
Capital Empresarial Horizonte —Benito Juárez, CDMX
- $80,000 a $100,000 por mes
- Tiempo completo
- Azure
- DevOps
- Inglés
Postulación rápida
1d
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
PRACTICANTE MERCADOTECNIA-INTELIGENCIA DE MERCADO
FANDELI —San Jerónimo Tepetlacalco, Méx.
- $3,000 a $3,200 por mes
- Lunes a viernes
- Microsoft Excel
- Mercadotecnia
- Ingeniería
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
Ingeniero de Software Senior – IA Generativa y Python
Capital Empresarial Horizonte —Benito Juárez, CDMX
- $80,000 a $100,000 por mes
- Tiempo completo
- Azure
- DevOps
- Inglés
Postulación rápida
1d

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Ingeniero Senior, Datos Industriales

Constellation Brands -
Ciudad de México, CDMX

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Información del empleo

Tiempo completo

Cualificaciones

Modelado de datos
Azure
Administración de personal
Informática
NoSQL
SQL
Licenciatura
Experiencia en manufactura
Python

Descripción completa del empleo

Job Description

Ciudad de México

Nivel de Estudios

Bachelor’s Degree in Computer Science or Computer Engineering. Advanced degree preferred.

Experiencia Requerida

5+ years delivering enterprise-level Data Engineering solutions

Habilidades

Soft Skills

Team Player: Excellent communication and interpersonal skills, working effectively as part of a team and collaborating with stakeholders across different locations.
Adaptability: Thrive in a dynamic, fast-paced work environment and adapt quickly to changing business needs.
Attention to Detail: Meticulous attention to detail, ensuring data accuracy and maintaining high-quality standards in all deliverables.

Technical Skills

A minimum of 5 years of professional hands-on experience with data engineering and data management
An understanding of cloud infrastructure
Strong problem-solving skills and the ability to troubleshoot complex data-related issues
Solid understanding of data modeling, data warehousing, data governance and ETL processes
Proficiency in Python and SQL/NoSQL query languages (ability to learn others)
Experience deploying software using cloud-based solutions in AWS, Azure, or similar
Familiarity with OPC-UA, MQTT, and industrial automation protocols is a significant advantage

Resumen

You will partner collaboratively with business and technical stakeholders to design, build, and maintain data pipelines and architectures that ingest, store, and analyze data from industrial systems (PLC, SCADA, IoT). The data will bridge OT (Operational Technology) and IT by optimizing ETL processes, ensuring data quality, and enabling decision support initiatives to improve manufacturing efficiency. You will ensure polices, processes, and governance standards are adhered to so that consistent and trusted data can drive business initiatives and enable data driven decision making in a reliable, repeatable, and scalable way. You will be responsible for the entire project life cycle from conception through commissioning of projects that support business initiatives such as Overall Equipment Effectiveness (OEE), Key Performance Indicators (KPIs), self-service Business Intelligence (BI) projects, Data Contextualization, Industrial Data Fabric, Machine Learning/AI use cases and ad-hoc analytics.

Responsabilidades

1.Data Pipeline Development - Create, maintain, and optimize scalable, reliable data pipelines for structured, unstructured, batch and real-time data using API's, Python, SQL and NoSQL.
2. Industrial Data Integration - Extract and clean data from PLC (Programmable Logic Controllers), HMI (Human Machine Interface), and SCADA systems
3. ETL/ELT Processes - Design and implement robust processes to extract, transform, and load data from manufacturing systems into secure, structured, or unstructured storage solutions (Data Lakes/Warehouses).
4. Performance Optimization - Redesign infrastructure for greater scalability and automate manual data processes.
5. Data Integrity & Security: Ensure data quality through testing, validation, and adherence to security protocols.

6. Collaboration & Support - Work with Production Engineering, Data Science, and Business Intelligence teams to understand
data requirements and ensure the availability of clean, high-quality data for analysis and reporting. Troubleshoot and
resolve data-related issues and performance bottlenecks in a timely manner.
7. Governance - Maintain data warehouse and respective governance that is used by operations stakeholders, business intelligence customers and data science teams. Produce and maintain high-quality documentation to ensure transparency and understanding of solutions. Implement, achieve and maintain strong data governance including technical data catalog, business data catalog, data lineage and data quality.
8. Analytic Life Cycle Management - Estimate, architect, and execute on delivery of critical data solutions. Manage life cycle from conception through commissioning of projects that support business initiatives such as Overall Equipment
Effectiveness (OEE), Key Performance Indicators (KPI) development, Self-service Business Intelligence (BI) Projects, Data Contextualization, Industrial Data Fabric, Machine Learning and AI use cases and ad-hoc analytics.

Location

Ciudad de Mexico, Mexico

Additional Locations

Job Type

Full time

Job Area

Operations and Production

Equal Opportunity

Constellation Brands is committed to a continuing program of equal employment opportunity. All persons have equal employment opportunities with Constellation Brands, regardless of their sex, race, color, age, religion, creed, sexual orientation, national origin or citizenship, ancestry, physical or mental disability, medical condition (cancer or genetic characteristics), marital status, gender (including gender identity or gender expression), familial status, military or veteran status, genetic information, pregnancy, childbirth, breastfeeding, or related conditions (or any other group or category within the framework of the applicable discrimination laws and regulations).

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machine learning empleos en cuauhtémoc cdmx

Ingeniero Senior, Datos Industriales

Experto Sr. en Ingeniería de Inteligencia de Datos

CONSULTOR C2 INGENIERO ML

EXPERTO SR EN INGENIERIA DE INTELIGENCIA DE DATOS

Data Analyst, Supply Chain

Senior Data Scientist – Procurement (m/f/d)

Senior Data Engineer

Sr Data Engineer - Music DISCO, Music DISCO

Senior AI Engineer

0151 - Python Developer Mid

Ingeniero de Datos Senior – GCP

Business Intelligence Developer I, Google Cloud

Desarrollador IA

la26.042 - Data Engineer

AI DevOps Engineer

Senior AI Engineer – Python / FastAPI / GenAI

Data Engineer II, DASH Device Operations

PRACTICANTE MERCADOTECNIA-INTELIGENCIA DE MERCADO

AI/ML Engineer Sr.

Ingeniero de Software Senior – IA Generativa y Python

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