20 publicaciones de empleo destacadas de data science and machine learning engineer en miguel hidalgo, dif (¡Están contratando!)

Data Science and Machine Learning Engineer
ETAP —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Experiencia en bases de datos
- SQL
Machine Learning Engineer - Data Science
PayJoy —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Inglés
- Licenciatura
- Seguro dental
- Seguro de la vista
Data Analyst (Machine Learning)
Sovos Compliance —Ciudad de México, CDMX
- Inglés
- Experiencia en bases de datos
- SQL
Postulación rápida
12d
Machine Learning Engineer
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
Data Scientist/Engineer - Early Career
Shift Technology —Ciudad de México, CDMX
- Tiempo completo
- Licenciatura
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Data Analyst
Sezzle —Ciudad de México, CDMX
- $2,800 a $6,800 por mes
- Tiempo completo
- Home Office (Desde casa)
- Informática
- Maestría
- SQL
5d
Data Scientist II
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- CAD
- Maestría
- SQL
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Machine Learning Engineer - Fraud
PayJoy —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Inglés
- Experiencia en bases de datos
- Seguro dental
- Seguro de la vista
Software Engineer Intern
Arkham Technologies —Ciudad de México, CDMX
- Trabajo híbrido
- Informática
- SQL
- Licenciatura
Postulación rápida
AI / ML Engineer
Solventum —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- Inglés
Recruiter (Mexico)
Tiger Analytics Inc. —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Microsoft Excel
- Licenciatura
- Reclutamiento
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
6d
Data scientist
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Inglés
- SQL
Research Analyst - Oil Supply
WM de Mexico, S. de R.L. de C.V. —Los Alpes, CDMX
- Tiempo completo
- Microsoft Excel
- Administración de personal
- Inglés
Postulación rápida
7d
Data Scientist - Life Sciences AI / ML
Zifo —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Doctorado
- Inglés
- Maestría
Postulación rápida
Data Engineer, YouTube Marketing
YouTube —Ciudad de México, CDMX
- Informática
- Experiencia en ventas
- Inglés
14d
Customer Success Engineer (CSE)
Infoblox —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Servicio al cliente
- Licenciatura
- Vacaciones adicionales o permisos con goce de sueldo
11d
Software Development Engineer in Test
PayJoy —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Licenciatura
- Sin título de educación superior
Machine Learning Researcher (PhD) - Systematic Commodities Hedge Fund
Moreton Capital Partners —Ciudad de México, CDMX
- $900,000 a $1,700,000 por año
- Tiempo completo
- Doctorado
- Experiencia en construcción
- Python
Postulación rápida
Systems Engineer - Must Reside in Mexico City
Extreme Networks —Ciudad de México, CDMX
- $35,000 a $40,000 por año
- Tiempo completo
- Trabajo híbrido
- Informática
- Experiencia en ventas
- Inglés
- Plan de adquisición de acciones empresariales
- Seguro dental
Postulación rápida
Immediate Start - Quant Researcher - Systematic Commodities Hedge Fund
Moreton Capital Partners —Ciudad de México, CDMX
- Tiempo completo
- Doctorado
- Informática
- Maestría
- Vacaciones adicionales o permisos con goce de sueldo
- Seguro de vida
Postulación rápida

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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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data science and machine learning engineer empleos en miguel hidalgo, dif

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