20 publicaciones de empleo destacadas en analytics client service analyst (¡Están contratando!)

MLOps
Capgemini Sogeti —Aguascalientes, Ags.
- Azure
- DevOps
- SQL
AEM Backend Developer
Boombit —Ciudad de México, CDMX
- Hasta $46,500 por mes
- Tiempo completo
- Azure
- Administración de personal
- Informática
Postulación rápida
MLOps
Capgemini —Aguascalientes, Ags.
- Azure
- DevOps
- SQL
Social Media Analyst Sr
VML —Ciudad de México, CDMX
- Inglés
Postulación rápida
7d
Data Engineer Sr
Accenture —Mérida, Yuc.
- Tiempo completo
- Azure
- Inglés
- Python
Sr ServiceNow Technical Consultant
Vector 70 —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- DevOps
- Inglés
- JavaScript
Postulación rápida
Sr Data Engineer
Capgemini Sogeti —Aguascalientes, Ags.
- Azure
- SQL
22h
Sr Data Engineer
Capgemini —Aguascalientes, Ags.
- Azure
- SQL
17h
ADF Fullstack Engineer
Capgemini Sogeti —Aguascalientes, Ags.
- Bilingüe
- Azure
- DevOps
6d
ADF Fullstack Engineer
Capgemini —Aguascalientes, Ags.
- Bilingüe
- Azure
- DevOps
Website Developer
Legal Management Group —Guadalajara, Jal.
- Tiempo completo
- Informática
- DevOps
- Inglés
Postulación rápida
12h
Senior Python Developer
Endava —Monterrey, N. L.
- Tiempo completo
- Trabajo híbrido
- Azure
- Oracle
- Administración de personal
- Programa de referidos
Postulación rápida
Automation Systems Engineer
North Point Technology —Monterrey, N. L.
- Oracle
- Administración de personal
- Disponibilidad para viajar hasta un 50 %
Postulación rápida
5d
MES Engineer
North Point Technology —Monterrey, N. L.
- Oracle
- Administración de personal
- Disponibilidad para viajar hasta un 50 %
Postulación rápida
1d
Sr. Analyst - Process Analytics - SCM 4B
EDM S de RL de CV —Zapopan, Jal.
- Administración de personal
- Informática
- Inglés
Postulación rápida
FBS - Business Solutions Analyst (Data & Reporting)
Capgemini —México
- Tiempo completo
- Home Office (Desde casa)
- Inglés
- Experiencia en bases de datos
- Licenciatura
- Seguro dental
- Seguro de vida
Postulación rápida
FBS - Data Analyst - Power BI
Capgemini —México
- Tiempo completo
- Home Office (Desde casa)
- Microsoft Excel
- Análisis de datos
- SQL
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
FBS - Data Marketing Analyst (Mid Level)
Capgemini —México
- Tiempo completo
- Home Office (Desde casa)
- Microsoft Excel
- Inglés
- SQL
- Seguro dental
- Seguro de vida
Postulación rápida
FBS - Senior Operations Analyst (Call Center)
Capgemini —México
- Home Office (Desde casa)
- Microsoft Excel
- Administración de personal
- Análisis de datos
- Seguro dental
- Seguro de vida
Postulación rápida
FBS - Senior Information Delivery Analyst (data)
Capgemini —México
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Análisis de datos
- Inglés
- Seguro dental
- Seguro de vida
Postulación rápida

Quiero recibir la alerta de empleo más reciente para analytics client service analyst

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MLOps

Capgemini Sogeti -
Aguascalientes, Ags.

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Información del empleo

Cualificaciones

Modelado de datos
Azure
Data mining
Ingeniería de software
DevOps
NumPy
Google Cloud Platform
SQL
Pandas
NLP
Python

Descripción completa del empleo

Senior MLOps Engineer (Cloud & AI)

Your Role

As a Senior MLOps Engineer, you will play a critical role in enabling the successful deployment, scalability, and performance of AI/ML solutions in production environments. You will collaborate closely with cross-functional teams to design, improve, and industrialize machine learning systems that drive revenue generation and business optimization.

You will:

Build, maintain, and document reusable machine learning frameworks and Python packages across multiple projects.
Collaborate with Data Scientists, Analysts, Data Engineers, and Business Stakeholders to deliver scalable solutions.
Develop and manage reusable feature stores for both rules-based systems and AI/ML models.
Implement monitoring solutions to ensure model performance, reliability, and effectiveness in production.
Design and automate CI/CD pipelines aligned with MLOps best practices for testing and deployment.
Optimize and refactor code, ensuring performance, scalability, and maintainability of ML systems.

Your Profile

Strong experience designing and scaling machine learning systems and data-driven products in collaborative environments.
Solid software engineering and DevOps background, including CI/CD, version control, and object-oriented programming.
Advanced proficiency in Python and data analytics ecosystems (NumPy, Pandas, Scikit-learn, PySpark) with strong SQL skills.
Experience working with cloud platforms (Azure, AWS, or GCP) and MLOps tools such as MLflow or Azure DevOps.
Analytical mindset with strong problem-solving skills, effective communication, and the ability to translate complex requirements into solutions.

What you’ll love – Growth and Learning at Every Step

Access continuous learning through internal academies, certifications, and mentorship programs focused on AI, Cloud, and Data.
Explore career mobility across projects, industries, and global opportunities.
Be part of a high-performance environment where innovation and continuous improvement are key.

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome and will be considered based on merit against the job and/or experience for the position.

Job Description

Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.

Job Description - Grade Specific

The role combines advanced technical expertise in data science with consulting skills to provide strategic guidance and solutions to clients.

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analytics client service analyst empleos

MLOps

AEM Backend Developer

MLOps

Social Media Analyst Sr

Data Engineer Sr

Sr ServiceNow Technical Consultant

Sr Data Engineer

Sr Data Engineer

ADF Fullstack Engineer

ADF Fullstack Engineer

Website Developer

Senior Python Developer

Automation Systems Engineer

MES Engineer

Sr. Analyst - Process Analytics - SCM 4B

FBS - Business Solutions Analyst (Data & Reporting)

FBS - Data Analyst - Power BI

FBS - Data Marketing Analyst (Mid Level)

FBS - Senior Operations Analyst (Call Center)

FBS - Senior Information Delivery Analyst (data)

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