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

Lead AI Aplication Engineer (Infrastructure & LLMOps)
TechBiz Global GmbH —Tenerife, Santa Cruz de Tenerife provincia
- Jornada completa
- Teletrabajo
- Azure
- DevOps
- SQL
Solicitud rápida
11h
Senior Site Reliability Engineer
Prima —En remoto
- Teletrabajo
- AWS
- Desarrollo de software
- Python
- Teletrabajo opcional
- Abono gimnasio
Solicitud rápida
Head of Data and AI
Abion —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- Inglés
- Oficina
AI Engineer / Backend Developer
Mindsight Ventures —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Azure
- DevOps
- Investigación
AI Architect (Agentic AI)
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Azure
- Doctorado
- Máster
AI Program Manager
Allianz —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Máster
- AWS
- Plan de pensiones
GCP AI Engineer
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Español
- Azure
- Informática
AI/ML Specialist Solutions Architect
Nebius —Madrid, Madrid provincia
- DevOps
- Java
- C++
Solicitud rápida
AI Architect
Fluidra North America —Sant Cugat del Vallès, Barcelona provincia
- Español
- Informática
- Inglés
9d
AI Lead
Omya Business Services SLU —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Oficina
- Máster
- Teletrabajo opcional
Solicitud rápida
Senior Machine Learning Engineer – Generative AI / LLMs
Accenture —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Español
- Informática
- DevOps
Senior AI Backend Engineer
SIX Group AG —Madrid, Madrid provincia
- Teletrabajo
- Azure
- Informática
- DevOps
AI Inhouse Consultant (m/f/d)
TecAlliance —Barcelona, Barcelona provincia
- Trabajo híbrido
- Azure
- Informática
- Inglés
Data Science & AI Training Specialist or AI Skills Lead
eDreams ODIGEO —Madrid, Madrid provincia
- Doctorado
- Informática
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Senior AI Test Automation Engineer 100% (f/m/d)
Julius Baer —Madrid, Madrid provincia
- Jornada completa
- Español
- Informática
- DevOps
AI Solutions Engineer (m/f/d)
Allianz —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Azure
- AWS
- Machine learning
- Plan de pensiones
Director, Data Engineering (Capital Markets)
JLL —Madrid, Madrid provincia
- Azure
- Informática
- DevOps
AI&Data Consultant
Accenture —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Doctorado
Backend Developer
Linde Material Handling Ibérica, S.A.U. —Barcelona, Barcelona provincia
- Jornada completa
- Azure
- Informática
- Inglés
Senior Rust Engineer
Appodeal —Barcelona, Barcelona provincia
- Oficina
- SQL
- C++
Solicitud rápida

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

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Lead AI Aplication Engineer (Infrastructure & LLMOps)

TechBiz Global GmbH
Tenerife, Santa Cruz de Tenerife provincia

Solicitud rápida

Detalles del empleo

Jornada completa
Hace 11 horas

Cualificaciones

Azure
DevOps
NoSQL
SQL
AWS
Docker
Grado
Terraform
APIs
Cloud
Inteligencia artificial
Python

Descripción completa del empleo

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio.

We are currently looking for a dedicated Lead AI Aplication Engineer to join one of our clients' teams. If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you.

Key Responsibilities:

Build & Run the Shared AI Platform

Architect and maintain a multi-tenant AI Platform that supports the full ML lifecycle across cloud and on-premises environments.
Ensure high availability, low latency, and cost-efficiency for all shared AI resources.
Implement LLMOps/MLOps best practices, including automated deployment pipelines for models.

2. Curate the AI Services Catalogue

Develop and expose "as-a-service" capabilities: Inference-as-a-Service, Embeddings-as-a-Service, and RAG-as-a-Service.
Standardize how squads interact with LLMs, providing unified APIs and abstraction layers to prevent vendor lock-in.

3. Manage AI Data Infrastructure

Own the deployment and scaling of Vector Databases (e.g., Pinecone, Milvus, Weaviate) and Feature Stores (e.g., Feast, Tecton, Hopsworks).
Optimize data retrieval patterns to support real-time AI applications and agentic workflows.
Oversee Model Hosting environments, utilizing Kubernetes (K8s) and GPU orchestration to manage compute resources efficiently.

4. Enable Developer Self-Service

Build and maintain a Self-Service Portal or CLI that allows product squads to provision AI environments, models, and data stores independently.
Reduce "Time-to-Inference" for new features by providing pre-configured templates and blueprints.
Conduct internal workshops and provide documentation to empower squads to use the platform effectively.

Must-Have Technical Skills

Infrastructure: Deep experience with Kubernetes (K8s), Docker, and Terraform/Pulumi.
Hybrid Cloud: Proven experience managing workloads across AWS/Azure/GCP and On-Premises (NVIDIA AI Enterprise, OpenShift).
AI/ML Tooling: Hands-on experience with vLLM, TGI (Text Generation Inference), or NVIDIA Triton for model serving.
Databases: Expertise in Vector DBs and traditional SQL/NoSQL databases.
Languages: High proficiency in Python and Go or Rust for platform tooling.

Experience

8+ years in Platform Engineering, DevOps, or Site Reliability Engineering (SRE).
2+ years specifically focused on building AI/ML infrastructure or platforms.
Experience building Internal Developer Platforms (IDP) is a massive plus.

Solicitud rápida

Refina tu búsqueda

data platform engineer (mlops) empleos

Lead AI Aplication Engineer (Infrastructure & LLMOps)

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