14 publicaciones de empleo destacadas en data platform engineer (mlops) (¡Están contratando!)

MLOps Engineer
PepsiCo —Cornellà de Llobregat, Barcelona provincia
- Trabajo híbrido
- Azure
- DevOps
- Python
23h
Senior Backend Engineer (Data)
Parser Limited —En remoto
- Jornada completa
- Trabajo híbrido
- Microsoft Access
- Informática
- SQL
- Teletrabajo opcional
Solicitud rápida
Data Science cum MLOps, Madrid (on-site) – International Client
The White Team —Tres Cantos, Madrid provincia
- Azure
- DevOps
- Inglés
7h
AI Voice Agents Engineering Lead
ISB Santander Global Technology and Operations, S.L. —Santa Bàrbara, Tarragona provincia
- Jornada completa
- Azure
- Informática
- Máster
- Abono gimnasio
- Seguro de vida
AI/ML Specialist Solutions Architect
Nebius —Madrid, Madrid provincia
- DevOps
- Java
- C++
Solicitud rápida
People Business Partner (Temporary 6 months)
Adsmurai —Barcelona, Barcelona provincia
- Trabajo híbrido
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Lead AI Engineer, Business Acceleration
SGS —Madrid, Madrid provincia
- Jornada completa
- Máster
- AWS
- Inteligencia artificial
Solicitud rápida
Senior LLM Engineer
MULTIVERSE COMPUTING —Donostia-San Sebastián, Guipúzcoa provincia
- Español
- Doctorado
- Informática
Solicitud rápida
Senior Director, AI Cloud & Compute Services
AstraZeneca —Barcelona, Barcelona provincia
- Jornada completa
- Microsoft Excel
- Azure
- DevOps
10d
Databricks Resident Solutions Architect (m/f/*)
Ultra Tendency —Madrid, Madrid provincia
- Teletrabajo
- Español
- Azure
- Inglés
Solicitud rápida
7d
Senior Data Scientist
Docplanner —España
- Jornada completa
- Teletrabajo
- Microsoft Word
- SQL
- Machine learning
- Abono gimnasio
Solicitud rápida
Principal Cloud Engineer
Plain Concepts —España
- Teletrabajo
- Azure
- DevOps
- Inglés
- Abono gimnasio
Solicitud rápida
Sr. Machine Learning Engineer
Fortra, LLC —España
- Jornada completa
- Teletrabajo
- Doctorado
- Java
- Máster
Data Engineering Internship
TomTom —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- Informática
- Inglés
Solicitud rápida
3h

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MLOps Engineer
PepsiCo —Cornellà de Llobregat, Barcelona provincia
3–6 years of experience in MLOps, DevOps, or Platform Engineering. This role focuses on enabling reliable, scalable, and cost-efficient ML workflows by…
23h
Senior AI Platform Backend Engineer (LLM)
EPAM Systems, Inc. —En remoto
We are seeking a talented and proactive Senior AI Platform Backend Engineer (LLM) to join our team in Spain in a remote working mode and to lead the design,…

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MLOps Engineer

PepsiCo -
Cornellà de Llobregat, Barcelona provincia

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Detalles del empleo

Hace 23 horas

Cualificaciones

TensorFlow
CI/CD
Azure
DevOps
Terraform
GitHub
Cloud
Python

Descripción completa del empleo

Overview:

We are seeking a Mid-Level MLOps Engineer to build, operate, and evolve our Kubeflow-based ML platform on Azure. This role focuses on enabling reliable, scalable, and cost-efficient ML workflows by designing CI/CD pipelines, managing Kubernetes-based ML infrastructure, improving platform observability, and supporting MLE and Data Science teams across the model lifecycle.

The ideal candidate is hands-on, comfortable working across infrastructure and ML workflows, and motivated to operationalize best practices in MLOps.

Responsibilities:

Platform & Infrastructure:

Deploy, configure, and operate Kubeflow components on Azure Kubernetes Service (AKS)

Support Kubernetes workloads for training, inference, and batch pipelines

Manage container images, registries, and ML runtime environments

Assist with Kubeflow and Kubernetes upgrades under senior guidance

CI/CD & Automation:

Build and maintain CI/CD pipelines for ML workflows and platform services

Automate model training, validation, and deployment pipelines

Implement reproducibility and versioning for data, models, and pipelines

Observability & Reliability:

Implement logging, monitoring, and alerting at the platform level

Diagnose and resolve workflow, pipeline, and infrastructure failures

Support SLAs and reliability objectives for ML platforms

Collaboration & Enablement:

Work closely with MLEs and Data Scientists to onboard workflows onto Kubeflow

Provide best practices, templates, and documentation for ML teams

Collaborate with Infra and Security teams on access control and compliance needs

Cost Awareness & Optimization:

Assist with collecting and reporting costs at Kubeflow namespace or workflow level

Identify optimization opportunities related to compute usage and scheduling

Qualifications:

3–6 years of experience in MLOps, DevOps, or Platform Engineering
Hands-on experience with Kubeflow, Kubernetes, Terraform (IaC), and containerized ML workloads
Strong experience with Azure cloud services (AKS, ACR, Storage, Networking, IAM, AD Groups)
Proficiency in Python and familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn)
Experience building CI/CD pipelines (GitHub Actions, Azure DevOps, Argo, etc.)
Understanding of ML lifecycle management (training, inference, monitoring, retraining)
Familiarity with observability tools (Prometheus, Grafana, Azure Monitor, DataDog)
Strong collaboration and communication skills

What makes us different?

Hybrid work model: combination of remote and collaborative office experience to enable innovation
Entrepreneurial environment in leading international company
Professional growth possibilities & learning opportunities
Variety of benefits to support your physical, emotional and financial wellbeing
Volunteering opportunities to help external communities

About PepsiCo
We believe that culture should be at the cornerstone of everything we do at PepsiCo. We are agile, innovative and not afraid of failure. We want our team to come to work every day excited to explore new ways to bring enjoyment, refreshment and fun to the world.
PepsiCo Positive (pep+) is the future of our organization – a strategic end-to-end transformation, with sustainability at the center of how we will create growth and value by operating within planetary boundaries and inspiring positive change for the planet and people.
So, if you’re ready to be a part of a playground for those who think big, we’d love to chat.

We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability

#LI-Hybrid

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data platform engineer (mlops) empleos

MLOps Engineer

Senior Backend Engineer (Data)

Data Science cum MLOps, Madrid (on-site) – International Client

AI Voice Agents Engineering Lead

AI/ML Specialist Solutions Architect

People Business Partner (Temporary 6 months)

Lead AI Engineer, Business Acceleration

Senior LLM Engineer

Senior Director, AI Cloud & Compute Services

Databricks Resident Solutions Architect (m/f/*)

Senior Data Scientist

Principal Cloud Engineer

Sr. Machine Learning Engineer

Data Engineering Internship

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