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

MLOps Engineer
PepsiCo —Cornellà de Llobregat, Barcelona provincia
- Trabajo híbrido
- Azure
- DevOps
- Python
5h
Product Owner for AI & Molecular Modeling
Sanofi —Barcelona, Barcelona provincia
- Doctorado
- Máster
- Grado
Sr. Machine Learning Engineer
Fortra, LLC —España
- Jornada completa
- Teletrabajo
- Doctorado
- Java
- Máster
Senior Data Scientist
Docplanner —España
- Jornada completa
- Teletrabajo
- Microsoft Word
- SQL
- Machine learning
- Abono gimnasio
Solicitud rápida
Advanced Specialist, Technical Architect
Pearson —España
- Jornada completa
- Teletrabajo
- Azure
- Inglés
- Máster

Related jobs to explore

Based on your search for platform engineer (mlops)

MLOps Engineer
Timestamp —Castelldefels, Barcelona provincia
Automatizar y optimizar el ciclo de vida de modelos de Machine Learning e IA. Experiencia con plataformas cloud y servicios relacionados con IA y datos.
Solicitud rápida
7h
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…
5h

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

Al iniciar sesión en tu cuenta, aceptas las Condiciones del servicio de SimplyHired, nuestra Política sobre cookies y nuestra Política de privacidad.

MLOps Engineer

PepsiCo -
Cornellà de Llobregat, Barcelona provincia

Solicitar ahora

Detalles del empleo

Hace 5 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

Solicitar ahora

Refina tu búsqueda

platform engineer (mlops) empleos

MLOps Engineer

Product Owner for AI & Molecular Modeling

Sr. Machine Learning Engineer

Senior Data Scientist

Advanced Specialist, Technical Architect

Related jobs to explore

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

Related Searches

Herramientas para candidatos

Herramientas para empresas

Buscar

Mantener la conexión