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

Lead AI Application Engineer (Infrastructure & LLMOps)
TechBiz Global GmbH —Tenerife, Santa Cruz de Tenerife provincia
- Jornada completa
- Teletrabajo
- Azure
- DevOps
- SQL
Solicitud rápida
Senior AI / MLOps Engineer (d/f/m)
TK ELEVATOR IBERICA HOLDING, SL UNIPERSONAL —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- Informática
- DevOps
- Parking gratuito
Backend Engineer (AI integration)
UST —Madrid, Madrid provincia
- Trabajo híbrido
- Informática
- DevOps
- Inglés
- Abono gimnasio
Solicitud rápida
2d
Senior Data Science Engineer
N-iX —En remoto
- Teletrabajo
- Sistemas ERP
- Inglés
- SQL
Solicitud rápida
AI Engineer
ESML SD Iberia Holding S A U —Los Girasoles (San Vicente Del Raspeig), Alicante provincia
- Jornada completa
- Azure
- DevOps
- Máster
Solicitud rápida
Expert Consultant, Coro, AI Engineer
Bain & Co. —Madrid, Madrid provincia
- Jornada completa
- Azure
- Doctorado
- Informática
- Seguro dental
- Vacaciones pagadas
Solicitud rápida
Data Scientist
CapsLock —En remoto
- Jornada completa
- Teletrabajo
- Inglés
- SQL
- Machine learning
Solicitud rápida
Machine Learning Ops and Data Engineer
Avarda Group —Málaga, Málaga provincia
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Solicitud rápida
9d
Senior GenAI Engineer – LLMs & RAG
Accenture —Málaga, Málaga provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- Máster
Director of Engineering & Platform
CHAMP Cargosystems —Ourense provincia
- Jornada completa
- Oracle
- Informática
- DevOps
19h
Senior ML Engineer
Chess.com —En remoto
- Jornada completa
- Teletrabajo
- Inteligencia artificial
Solicitud rápida
Senior MLOps Engineer
NN Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- AWS
- Parking gratuito
- Seguro de vida
Senior Solutions Architect (Data & AI)
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Azure
- AWS
- APIs
Senior Platform Engineer (Data team)
SeQura —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- DevOps
- Inglés
- AWS
Solicitud rápida
AI Engineer / Backend Developer
Mindsight Ventures —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Azure
- DevOps
- Investigación
AI Technical Architect — Microsoft & Enterprise Platforms (Remote)
Arxada —Barcelona, Barcelona provincia
- Jornada completa
- Teletrabajo
- Español
- Azure
- Inglés
11d
Senior MLOps Engineer
Appodeal —Barcelona, Barcelona provincia
- DevOps
- Inglés
- Oficina
Solicitud rápida
Data Engineer
ESML SD Iberia Holding S A U —Los Montoyos, Alicante provincia
- Jornada completa
- Azure
- DevOps
- Inglés
Solicitud rápida
Senior AI Engineer / AI Architect
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- Ventas
Cloud Data Engineer
SIX Group AG —Madrid, Madrid provincia
- Teletrabajo
- Azure
- Inglés
- SQL

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

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Lead AI Application Engineer (Infrastructure & LLMOps)

TechBiz Global GmbH
Tenerife, Santa Cruz de Tenerife provincia

Solicitud rápida

Detalles del empleo

Jornada completa

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

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