9 publicaciones de empleo destacadas de lead site reliability en loreto cdmx (¡Están contratando!)

Data Science and Machine Learning Engineer
ETAP —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Experiencia en bases de datos
- SQL
Condition Monitoring Engineer
AssetWatch, Inc. —Ciudad de México, CDMX
- Home Office (Desde casa)
- Microsoft Office
- Experiencia en manufactura
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
9d
Senior Software Infrastructure Engineer - AI Tooling
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- DevOps
11d
IT System Specialist
ETAP —Ciudad de México, CDMX
- $21,000 a $29,000 por mes
- Tiempo completo
- Microsoft Excel
- Administración de personal
- Habilidades de organización
Senior DevOps Engineer/IT Engineer
Qualcomm —Ciudad de México, CDMX
- Administración de personal
- DevOps
- Licenciatura
Senior IT Engineer - Endpoint Engineering
Nubank —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Administración de personal
- Informática
- DevOps
- Seguro dental
- Seguro de la vista
Postulación rápida
Senior Software Engineer, Backend
Univision communications inc —Vasco de Quiroga, CDMX
- Tiempo completo
- Administración de personal
- Informática
- DevOps
12d
Azure DevOps Engineer
SCIGON —Ciudad de México, CDMX
- $22 a $30 por hora
- Azure
- DevOps
- Sin título de educación superior
Postulación rápida
Software Engineer DET| SSR
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Java
- Maestría

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Operations Manager Full-Time | On-Site | Mexico City (CDMX)
Avantive Solutions —Miguel Hidalgo, CDMX
Proven ability to lead high-performing teams while driving accountability and operational results. Operations Manager Full-Time | On-Site | Mexico City (CDMX).
Postulación rápida
Property Manager - Mexico
Ikano-Retail —Ciudad de México, CDMX
Oversee forecasts, budgets, 5/10-year rolling property plans, and related tasks across all sites. Proven experience in leading and managing multi-site projects…
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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lead site reliability empleos en loreto cdmx

Data Science and Machine Learning Engineer

Condition Monitoring Engineer

Senior Software Infrastructure Engineer - AI Tooling

IT System Specialist

Senior DevOps Engineer/IT Engineer

Senior IT Engineer - Endpoint Engineering

Senior Software Engineer, Backend

Azure DevOps Engineer

Software Engineer DET| SSR

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