20 publicaciones de empleo destacadas de data scientist , amazon music disco 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
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Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
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- Informática
- DevOps
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Machine Learning Engineer - Fraud
PayJoy —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Inglés
- Experiencia en bases de datos
- Seguro dental
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Data Engineer
Zurich Insurance —Ciudad de México, CDMX
- Azure
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Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
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- Java
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Zurich Insurance —Ciudad de México, CDMX
- Azure
- Informática
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PepsiCo —Miguel Hidalgo, CDMX
- Microsoft Powerpoint
- Microsoft Excel
- Azure
Senior Software Development Engineer
Amazon.com —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Informática
- Java
Machine Learning Platform Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Experiencia en bases de datos
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
Lead, AI Security Operations Engineer
Mastercard —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Maestría
- Licenciatura
Software Engineer II - Finance Data & Experiences
Microsoft —Ciudad de México
- Tiempo completo
- Azure
- Informática
- DevOps
11d
UX/UI Specialist for Data Practice
Kyndryl —Ciudad de México, CDMX
- Tiempo completo
- Azure
- JavaScript
- HTML
SUB-DIRECTOR DESARROLLO DE SISTEMAS
Grupo Financiero Banorte —Ciudad de México, CDMX
- Azure
- Inglés
- SQL
Forward Deployed Engineer Intern
Arkham Technologies —Ciudad de México, CDMX
- Trabajo híbrido
- Informática
- SQL
- Python
Postulación rápida
ELN Analyst (Benchling)
Zifo —Ciudad de México, CDMX
- Tiempo completo
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Business Intelligence Analyst, NCRC & RCX, LATAM CFX
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Excel
- Oracle
- Java
AI Presales
SDG Group —Ciudad de México, CDMX
- Trabajo híbrido
- Español
- Azure
- Doctorado
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Senior Product Designer (UX)
Dotmatics —Ciudad de México, CDMX
- Microsoft Excel
- Inglés
- Sin título de educación superior
Solution Manager
Imubit —Ciudad de México, CDMX
- Home Office (Desde casa)
- Administración de personal
- Licenciatura
- Mejora continua

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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

Refina tu búsqueda

data scientist , amazon music disco empleos en ciudad de méxico, dif

Machine Learning Engineer

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Machine Learning Platform Engineer

Research Analyst - Oil Supply

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Software Engineer II - Finance Data & Experiences

UX/UI Specialist for Data Practice

SUB-DIRECTOR DESARROLLO DE SISTEMAS

Forward Deployed Engineer Intern

ELN Analyst (Benchling)

Business Intelligence Analyst, NCRC & RCX, LATAM CFX

AI Presales

Senior Product Designer (UX)

Solution Manager

Quiero recibir la alerta de empleo más reciente para data scientist , amazon music disco en ciudad de méxico, dif

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