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

MLOps Engineer
PepsiCo —Cornellà de Llobregat, Barcelona provincia
- Trabajo híbrido
- Azure
- DevOps
- Python
1d
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
Junior AI Engineer
Rakuten Global —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Oficina
- AWS
13h
Data Engineering Internship
TomTom —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- Informática
- Inglés
Solicitud rápida
4h
Lead AI/ML Engineer
N-iX —En remoto
- Teletrabajo
- Informática
- Inglés
- Máster
Solicitud rápida
Lead Platform Engineer (m/f/d)
Buynomics —En remoto
- Teletrabajo
- Azure
- DevOps
- Oficina
Solicitud rápida
Product Owner for AI & Molecular Modeling
Sanofi —Barcelona, Barcelona provincia
- Doctorado
- Máster
- Grado
Staff ML Engineer
Factorial —Barcelona, Barcelona provincia
- De 77.000 € a 92.000 € al año
- Informática
- Ventas
- Inglés
Solicitud rápida
4d
Director, Data Engineering (Capital Markets)
JLL —Madrid, Madrid provincia
- Azure
- Informática
- DevOps
14d
Senior Machine Learning Engineer – Generative AI / LLMs
Accenture —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Español
- Informática
- DevOps
ML Engineer
eDreams ODIGEO —Barcelona, Barcelona provincia
- Jornada completa
- Informática
- Inglés
- Oficina
Senior Machine Learning Engineer – LLMs & Agentic AI
Keysight Technologies, Inc. —Barcelona, Barcelona provincia
- Media jornada
- Azure
- Doctorado
- Informática
Detection Engineer - AI/ML
Allianz —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Informática
- Inglés
- Machine learning
- Plan de pensiones
11d
GCP AI Engineer
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Español
- Azure
- Informática
AI&Data Consultant
Accenture —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Doctorado
Senior GenAI Engineer – LLMs & RAG
Accenture —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- Máster
AI Program Manager
Allianz —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Máster
- AWS
- Plan de pensiones
AI Lead
Omya Business Services SLU —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Oficina
- Máster
- Teletrabajo opcional
Solicitud rápida
Machine Learning Engineer (LLM)
MULTIVERSE COMPUTING —Donostia-San Sebastián, Guipúzcoa provincia
- Español
- Doctorado
- Informática
Solicitud rápida

Quiero recibir la alerta de empleo más reciente de data platform engineer (mlops)

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MLOps Engineer

PepsiCo -
Cornellà de Llobregat, Barcelona provincia

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Detalles del empleo

Hace 1 día

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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