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

Data Science and Machine Learning Engineer
ETAP —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Experiencia en bases de datos
- SQL
Senior Software Development Engineer, Big Data
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Informática
- SQL
- Licenciatura
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
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
10d
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
8d

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Data Science and Machine Learning Engineer

ETAP -
Ciudad de México, CDMX

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Información del empleo

Tiempo completo

Cualificaciones

TensorFlow
Azure
PyTorch
NumPy
NoSQL
Git
Experiencia en bases de datos
SQL
Pandas
Docker
Python

Descripción completa del empleo

ETAP empowers customers to make informed decisions throughout the life cycle of their projects with innovative software solutions for electrical systems. By applying ETAP solutions, customers experience continuous intelligence during design and engineering and into operations and maintenance using a unified electrical digital twin platform. ETAP supports customers in their digital transformation and sustainable energy transitions for a green and smart future, helping them to prioritize safety, maximize reliability, and stay resilient.

Our employees' passion for excellence, innovation, and customer satisfaction is our most-prized resource. If you share that passion — and want to be part of a company that leads the energy transition towards a cleaner and more resilient world for future generations — we invite you to join us!

ETAP is committed to creating a diverse work environment and is proud to be an Equal Opportunity Employer.

Job Title: Data Science & Machine Learning Engineer

Location: On-site (Mexico)
Employment Type: Full-time

About the Role

ETAP’s Cloud Division is expanding its AI/ML capabilities and is seeking a Data Science & Machine Learning Engineer to help design, build, and deploy intelligent systems at scale.

This hybrid role bridges data science and production engineering , focusing not only on building high-performing models but also on operationalizing them in real-world environments. You will work on high-impact initiatives across predictive modeling, graph machine learning, and generative AI, contributing directly to product innovation.

Key Responsibilities

Design, develop, and deploy machine learning models for classification, regression, ranking, and recommendation systems
Build end-to-end ML pipelines, from data ingestion and feature engineering to model deployment and monitoring
Productionize models as scalable APIs using FastAPI, Docker, and cloud platforms (Azure ML)
Implement robust validation, testing, and monitoring to ensure model performance and reliability in production
Collaborate with data engineers and software teams to integrate ML solutions into production systems
Monitor models for drift, retrain pipelines, and continuously improve performance

Required Qualifications

Strong programming skills in Python , with expertise in Pandas, NumPy, and scikit-learn
Experience building and deploying end-to-end ML systems in production environments
Solid knowledge of SQL/NoSQL databases and data pipeline development
Hands-on experience with XGBoost and/or LightGBM for structured data problems
Experience with MLOps tools such as Git, Docker, MLflow/Weights & Biases, and Azure ML
Strong understanding of model evaluation metrics and performance trade-offs

Preferred Qualifications

Experience with deep learning frameworks (PyTorch or TensorFlow)
Familiarity with model optimization and tuning (e.g., Optuna)
Experience with Graph ML (PyTorch Geometric, DGL) or Generative AI (RAG, embeddings, LangChain, LlamaIndex)
Knowledge of model serialization and deployment standards (ONNX)
Experience working in cloud-native, distributed environments

What We’re Looking For

A strong engineering mindset with the ability to take models from concept to production
Curiosity and passion for applying cutting-edge AI/ML techniques
A results-driven approach focused on delivering measurable business impact
Strong collaboration and communication skills across technical and non-technical teams

What We Offer

Competitive compensation aligned with the Mexican market
Opportunity to work on cutting-edge AI/ML and cloud technologies
A collaborative, innovative, and inclusive work environment
Exposure to global teams and impactful projects

ETAP requires all successful applicants to undergo and pass a comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third party personal data may involve additional background check criteria.

ETAP is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business.

Come and join ETAP to create the transformative technology that enables our customers to engineer a better world.

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machine learning empleos en cuauhtémoc cdmx

Data Science and Machine Learning Engineer

Senior Software Development Engineer, Big Data

PRACTICANTE MERCADOTECNIA-INTELIGENCIA DE MERCADO

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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