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Why this grade This listing scored 48/100, which is a D. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Freshness 8 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
-5 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Buscamos un/a Ingeniero/a de MLOps con más de 5 años de experiencia para construir y productizar capacidades de IA —desde pipelines de RAG hasta el servicio de modelos— y entregarlas como servicios escalables, gobernados y orientados al desarrollador.
¿Qué estamos buscando?
- Experiencia en MLOps/SRE o ingeniería de plataformas con cargas de trabajo de ML/IA en producción; especialmente la experiencia profunda con Databricks MLflow y con CI/CD empresarial.
- Experiencia en DevOps, en la parte de integración y despliegue continuo.
- Diseño/operación de releases multientorno (dev→test→prod) con aprobaciones, secretos e identidad; IaC (Terraform/Crossplane) y redes en la nube en Azure y/o AWS.
- Experiencia práctica en evaluación/monitorización de modelos/agentes; familiaridad con SLOs, respuesta a incidentes y gestión de capacidad/costes.
- Familiaridad con herramientas como ArgoCD, Crossplane, Istio, Knative, OpenSearch, Prometheus y Grafana.
- Inglés C2.
- Contratación indefinida con IRIUM.
- Banda salarial según experiencia y encaje con empresa y proyecto.
- Buen clima laboral.
- Acceso ilimitado a formación tecnológica puntera en modalidad barra libre.
- Club de beneficios para empleados con descuentos directos y miles de ofertas en marcas, hoteles, agencias de viaje, cines, ropa...
- Modalidad remota, dentro de territorio español.
- Salario: 30K – 35K.
Pasarás a formar parte de un gran equipo de personas que estarán siempre dispuestas a ayudarte. IRIUM es una empresa formada por profesionales con inquietudes, dinámicos y resolutivos.
Nuestros valores son la responsabilidad y el compromiso con el trabajo bien hecho, este es el espíritu que buscamos en IRIUM, sea cual sea tu edad, si te reconoces ¡esta es tu empresa!
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 03 Sep 2026 Himalayas first sighting
Seen on 1 board over 0 days.