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

MLOps Engineer
PepsiCo —Cornellà de Llobregat, Barcelona provincia
- Trabajo híbrido
- Azure
- DevOps
- Python
1d
MLOps Engineer
Timestamp —Castelldefels, Barcelona provincia
- Trabajo híbrido
- Machine learning
- Python
Solicitud rápida
1d
Senior Backend Engineer (Data)
Parser Limited —En remoto
- Jornada completa
- Trabajo híbrido
- Microsoft Access
- Informática
- SQL
- Teletrabajo opcional
Solicitud rápida
Technical Lead - Advanced Analytics & MLOps (m/f/d)
ZF —Barcelona, Barcelona provincia
- Español
- Azure
- DevOps
Senior Machine Learning Engineer
Roche —Sant Cugat del Vallès, Barcelona provincia
- Jornada completa
- Microsoft Excel
- Informática
- SQL
Senior Applied AI Engineer – Developer Productivity & SDLC
Keysight Technologies, Inc. —Barcelona, Barcelona provincia
- Media jornada
- Informática
- Máster
- Grado
Senior LLM Engineer
MULTIVERSE COMPUTING —Donostia-San Sebastián, Guipúzcoa provincia
- Español
- Doctorado
- Informática
Solicitud rápida
GCP AI Engineer
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Español
- Azure
- Informática
GCP Senior AI Engineer
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Español
- Informática
- Inglés
Product Owner for AI & Molecular Modeling
Sanofi —Barcelona, Barcelona provincia
- Doctorado
- Máster
- Grado
Senior Applied Data Scientist - Data Architecture & Feature Engineering
Keysight Technologies, Inc. —Barcelona, Barcelona provincia
- Media jornada
- Azure
- Máster
- SQL
AI Inhouse Consultant (m/f/d)
TecAlliance —Barcelona, Barcelona provincia
- Trabajo híbrido
- Azure
- Informática
- Inglés
AI Architect (Agentic AI)
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Azure
- Doctorado
- Máster
AI Architect
Fluidra North America —Sant Cugat del Vallès, Barcelona provincia
- Español
- Informática
- Inglés
7d
Senior AI Test Automation Engineer 100% (f/m/d)
Julius Baer —Madrid, Madrid provincia
- Jornada completa
- Español
- Informática
- DevOps
Senior AI Backend Engineer
SIX Group AG —Madrid, Madrid provincia
- Teletrabajo
- Azure
- Informática
- DevOps
Senior / Mid LLM Engineer – Applied AI y Model Optimization
Mystery Project —Donostia-San Sebastián, Guipúzcoa provincia
- Jornada completa
- Doctorado
- Informática
- Inglés
Solicitud rápida
AI Senior Consultant
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Doctorado
- Informática
Forward Deployed AI Engineer (all genders)
UDG Ludwigsburg GmbH —Barcelona, Barcelona provincia
- Jornada completa
- Español
- Azure
- Informática
Solicitud rápida
Backend Developer
Linde Material Handling Ibérica, S.A.U. —Barcelona, Barcelona provincia
- Jornada completa
- Azure
- Informática
- Inglés

Quiero recibir la alerta de empleo más reciente de data science/mlops engineer

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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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