20 publicaciones de empleo destacadas de engineering and quality data engineer en ciudad de méxico, dif (¡Están contratando!)

Machine Learning Engineer
Key Prediction —Ciudad de México, CDMX
- $40,000 a $45,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Informática
- Maestría
Postulación rápida
Quality Engineer
Monster Energy LATAM —Ciudad de México, CDMX
- Microsoft Office
- Licenciatura
- Uso de computadora
Postulación rápida
Data Engineer
NielsenIQ —Ciudad de México, CDMX
- $35,000 a $46,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Inglés
- SQL
Postulación rápida
10d
Data Scientist/Engineer - Early Career
Shift Technology —Ciudad de México, CDMX
- Tiempo completo
- Licenciatura
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Junior LLM / Agents Engineer - Systematic Commodities Hedge Fund
Moreton Capital Partners —Ciudad de México, CDMX
- $600,000 a $1,200,000 por año
- Tiempo completo
- Licenciatura
- Python
Postulación rápida
Data Engineer - Systematic Commodities Hedge Fund
Moreton Capital Partners —Ciudad de México, CDMX
- Tiempo completo
- SQL
- Licenciatura
- Python
Postulación rápida
Data Engineer (Azure) - Remote, Latin America
Bluelight Consulting —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Informática
- DevOps
Platform Engineering Lead – Monitoring Telemetry Observability Platform
VASS Mexico —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
- Descuento de gimnasio
Staff Data Engineer
Ben & Frank —Azcapotzalco, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Informática
- Ingeniería
Postulación rápida
2h
Senior Data Engineer
NielsenIQ —Ciudad de México, CDMX
- $65,400 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Informática
- DevOps
Postulación rápida
Principal Data Engineer
NielsenIQ —Ciudad de México, CDMX
- $80,000 a $94,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Inglés
- SQL
Postulación rápida
11d
Software Engineer, Data Infrastructure & Acquisition - Mexico City, Mexico
Speechify —Ciudad de México, CDMX
- Home Office (Desde casa)
- Doctorado
- Informática
- Maestría
9d
Senior Data Engineer - AI & ML Enablement
Solventum —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- Inglés
Data Scientist - Life Sciences AI / ML
Zifo —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Doctorado
- Inglés
- Maestría
Postulación rápida
Engineering Development
Kyndryl —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- DevOps
10d
Staff Software Engineer (Product Systems & Platform Engineering)
EQUALS TRUE —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Inglés
Postulación rápida
QA Engineer I
Meltwater Group —Ciudad de México, CDMX
- Informática
- Java
- Experiencia en bases de datos
Software Development Engineer, Big Data
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Informática
- DevOps
- Java
QA Engineer II, Mexico City (MX)
Swiss Re —Ciudad de México, CDMX
- Administración de personal
- Java
- JavaScript
QA Engineer - Level 3
Meltwater Group —Ciudad de México, CDMX
- Informática
- Java
- Experiencia en bases de datos

Quiero recibir la alerta de empleo más reciente para engineering and quality data engineer en ciudad de méxico, dif

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Machine Learning Engineer

Key Prediction
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo
$40,000 a $45,000 por mes

Beneficios

Estacionamiento para empleados
Estacionamiento de la empresa

Cualificaciones

TensorFlow
Azure
Informática
Ingeniería de software
PyTorch
NumPy
AWS Certification
NoSQL
Git
Google Cloud Platform
Maestría
Experiencia en bases de datos
SQL
Pandas
Licenciatura
OpenCV
Desarrollo de software
Requisitos comerciales
Flask
Python
Ciencia de los datos

Descripción completa del empleo

About the Role

We are seeking a highly skilled Senior Machine Learning Engineer to join our growing AI team. In this role, you will design, develop, deploy, and maintain Machine Learning and Artificial Intelligence solutions that drive business value through intelligent automation, predictive analytics, and innovative AI-powered products.

You will work closely with Data Scientists, Data Engineers, Software Engineers, and business stakeholders to transform experimental models into scalable, production-ready solutions.

Key Responsibilities

Design, train, optimize, and deploy Machine Learning models in production environments.
Develop Computer Vision solutions for image and video detection, classification, and segmentation.
Build and maintain scalable data pipelines for model training and inference.
Integrate Machine Learning models through APIs and microservices.
Select, evaluate, and adapt Large Language Models (LLMs) for business use cases.
Implement Prompt Engineering, Retrieval-Augmented Generation (RAG), and fine-tuning techniques.
Develop Generative AI solutions, including intelligent assistants, automated summarization, and recommendation systems.
Monitor model performance, drift, and retraining processes.
Optimize cloud infrastructure costs and model performance across AWS, Azure, or GCP environments.
Collaborate within Agile/Scrum teams to deliver high-quality AI solutions.
Ensure best practices in software development, scalability, maintainability, and documentation.
Partner with cross-functional teams to translate business requirements into AI-driven solutions.

Required Qualifications

Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, or a related field.
Master’s degree or postgraduate specialization in Machine Learning, Artificial Intelligence, or related disciplines is highly preferred.

Professional Experience

5+ years of proven experience as a Machine Learning Engineer.
Hands-on experience developing and deploying Machine Learning solutions in production environments.
Strong background in Computer Vision projects.
Experience building scalable AI systems in cloud environments.
Experience working in Agile/Scrum environments.

Technical Skills

Machine Learning & Data Science

Advanced proficiency in Python.
Strong experience with NumPy, Pandas, and related data processing libraries.
Expertise in supervised and unsupervised learning techniques.
Experience with TensorFlow, PyTorch, and Scikit-learn.
Strong understanding of model training, evaluation, optimization, and deployment.

Computer Vision

Experience with OpenCV, Pillow, Albumentations, or similar frameworks.
Knowledge of image classification, object detection, segmentation, and video analytics.

Software Engineering

Experience developing APIs using FastAPI and/or Flask.
Proficiency with Git and version control best practices.
Strong knowledge of SQL and NoSQL databases.
Experience building scalable microservices architectures.

Cloud & MLOps

Experience deploying Machine Learning solutions on AWS, Azure, or Google Cloud Platform.
Familiarity with MLflow, Kubeflow, Airflow, Vertex AI Pipelines, and/or AWS SageMaker.
Understanding of CI/CD practices for Machine Learning systems.

Generative AI & LLMs

Hands-on experience with LLMs such as GPT, Llama, Mistral, Claude, Falcon, or Gemini.
Experience with Prompt Engineering and Retrieval-Augmented Generation (RAG).
Knowledge of fine-tuning techniques and model optimization strategies.
Familiarity with LoRA, quantization, distillation, and other cost-optimization approaches.
Experience building AI-powered assistants, chatbots, and multimodal applications.

Preferred Certifications

AWS Certified Machine Learning – Specialty
Microsoft Certified: Azure Data Scientist Associate
Google Cloud Professional Machine Learning Engineer

Sueldo: $40,000.00 - $45,000.00 al mes

Beneficios:

Estacionamiento de la empresa

Lugar de trabajo: remoto híbrido en Ciudad de México

Postulación rápida

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Quiero recibir la alerta de empleo más reciente para engineering and quality data engineer en ciudad de méxico, dif

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