20 publicaciones de empleo destacadas en engineer python developer (ai) (¡Están contratando!)

Data Ops Engineer
Kerry —Querétaro, Qro.
- Azure
- SQL
- Licenciatura
Sr Product Support Engineer
Meltwater Group —Ciudad de México, CDMX
- Incluye fines de semana
- Inglés
- Maestría
- Experiencia en bases de datos
Machine Learning Platform Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Experiencia en bases de datos
Database Engineering - Associate
FICO —Desde casa
- Incluye fines de semana
- Home Office (Desde casa)
- Administración de personal
- DevOps
- Java
Sr. Software Engineer (Python / Django / AWS)
Kuona —Monterrey, N. L.
- Administración de personal
- Informática
- Inglés
- Seguro de vida
Web Application Developer (Mfg Environment)
Corning —Apodaca, N. L.
- Microsoft Excel
- Azure
- Administración de personal
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Full Stack Developer
GFT Technologies SE —San Miguel Chapultepec I Sección, CDMX
- Administración de personal
- Mantenimiento
- Java
- Seguro dental
- Seguro de vida
Lead AI Software Engineer
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Administración de personal
- DevOps
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
Engineering and Quality - Full Stack Engineer
Fitch Group —Monterrey, N. L.
- Administración de personal
- Informática
- Java
- Permiso de maternidad y paternidad
Senior AI Software Engineer
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Administración de personal
- DevOps
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
Staff Software Engineer (Backend)
Varicent —Mérida, Yuc.
- Home Office (Desde casa)
- Azure
- Informática
- Licenciatura
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Senior Full Stack Engineer (Python/React)
Forager —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- DevOps
- Sin título de educación superior
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
MEX - Full-Stack Developer
Tidal —Ciudad de México, CDMX
- Tiempo completo
- Inglés
- Experiencia en bases de datos
- JavaScript
Postulación rápida
Software Engineer in Test - Onsite or Remote (FR, UK, DE, NL)
Dataiku —África, Zac.
- Azure
- Java
- C++
DevX Principal Engineer - Tech Lead
EY —Miguel Hidalgo, CDMX
- Azure
- DevOps
- SQL
Data Engineer II, DASH Device Operations
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Preparación de alimentos
- Java
5d
Remote SDET (QA Automation)
NTT Ltd —Guadalajara, Jal.
- Tiempo completo
- Azure
- Administración de personal
- Java
- Vacaciones adicionales o permisos con goce de sueldo
- Seguro de vida
Senior Data Ops Engineer
Kerry —Querétaro, Qro.
- Azure
- Administración de personal
- DevOps
Cloud DBA Lead
NTT Ltd —Guanajuato
- Tiempo completo
- Azure
- Oracle
- Administración de personal
Staff Platform Engineer
EarnIn —Ciudad de México, CDMX
- Administración de personal
- Informática
- Maestría
Postulación rápida

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Data Ops Engineer

Kerry -
Querétaro, Qro.

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Información del empleo

Cualificaciones

Power BI
Azure
Estadísticas
Gestión de incidentes
SQL
Licenciatura
ServiceNow
Python
Ciencia de los datos

Descripción completa del empleo

About Kerry

Kerry is the world's leading taste and nutrition company for the food, beverage and pharmaceutical industries. Every day we partner with customers to create healthier, tastier and more sustainable products that are consumed by billions of people across the world. Our vision is to be our customers' most valued partner, creating a world of sustainable nutrition. A career with Kerry offers you an opportunity to shape the future of food while providing you opportunities to explore and grow in a truly global environment.

About the role

As a Data Ops Engineer, you will play a key role in the day‑to‑day operational support of Kerry’s data and analytics platforms. Your primary focus will be BAU operations, including monitoring ELT data pipelines, managing incidents and defects, supporting Power Platform solutions, and delivering minor enhancements, all while supporting and enabling the broader Power BI community.

AI/ML monitoring will be part of the role, but on a smaller scale mainly ensuring basic model consistency and accuracy, with operational readiness as these capabilities grow over time. This is a hands‑on, problem‑solving role ideal for someone who enjoys troubleshooting, stability improvements, and cross‑team collaboration.

In this role you will also use your Power Platform technical skills and strong communication abilities to support global Power BI users, create and curate learning experiences for citizen developers, and guide teams as they embrace Self‑Service BI capabilities.

Key responsibilities

Monitor and maintain ELT data pipelines across Azure, Databricks and Microsoft Fabric to ensure reliable ingestion and refresh cycles.
Perform incident management, including triage, root‑cause analysis, resolution, and communication with stakeholders.
Deliver minor enhancements across data applications and reports.
Support operational tasks tied to data quality, refresh failures, job scheduling, and CI/CD processes.
Provide operational support for Power Platform and Databricks solutions, including troubleshooting and minor fixes.
Support governance, environment management, and platform best practices.
Support the self‑service BI community, ensuring adherence to DS&E governance.
Build and maintain a strong Power BI community by sharing best practices, monthly updates, training sessions, and empowering Power BI champions.
Maintain an internal hub for reusable assets, templates, and guidelines.
Perform basic monitoring of AI/ML jobs (refresh health, drift flags, runtime failures).
Collaborate with Data Scientists to assist with operational readiness for models and agents.
Escalate issues and support small operational tasks tied to model health.

Qualifications and skills

Bachelor’s degree or higher in Data Science, Statistics, Mathematics, Computer Science, or another quantitative field.
Technical exposure to Power BI, Power Apps, Power Automate, Databricks is mandatory.
Knowledge of at least 2 of the following languages (PySpark, SQL, Power Query, Python and DAX).
Experience and understanding of the AI/ML lifecycle, monitoring metrics, and evaluation workflows would be a plus.
Experience using Dev Ops and CI/CD would be a plus.
Strong troubleshooting, problem‑solving kills and attention to detail.
Ability to manage incidents, defects, and operational workflows though Service Now.
Strong communication and facilitation skills; able to guide both beginners and advanced users as well as comfort working with multiple technical teams.
Self‑learner with a strong passion for emerging technologies.
Experience building training content, documentation, or communities of practice would be a plus.
Passion for enabling others, sharing knowledge, and uplifting data culture.

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Quiero recibir la alerta de empleo más reciente para engineer python developer (ai)

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