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LM
Luis Minvielle
What Are Large Language Models?
almost 3 years ago
Genai/Llm Ml Engineer - Rag, Microservices & Cloud
Mindmatch
León, Spain
19 days ago
- Discuss this with your agent
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Apply on www.buscojobs.com.es
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Cloud Computing
Machine Learning
Large Language Models
Machine Learning Operations
Microservices
Job description
MindMatch, parte de Bluetab (IBM Company), busca un Machine Learning Engineer especializado en GenAI/LLM/RAG para diseñar e implementar soluciones de IA en entornos cloud e híbridos.Serás responsable de crear asistentes virtuales, garantizar rendimiento y documentar resultados para clientes líderes.Se valorará experiencia en orquestación de agentes, NLP, fines de aquilibrio de modelos y prácticas MLOps.Ubicación híbrida, con posibilidad de trabajar desde Madrid o hubs en España, y un paquete #J-*****-Ljbffr
Requirements
Se valorará experiencia en orquestación de agentes, NLP, fines de aquilibrio de modelos y prácticas MLOps.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.buscojobs.com.es
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlists2:08 min
Essential engineering roles in the generative AI space
Mary Grygleski · LIVE
3:07 min
Transitioning architecture to microservices at Netflix
Steve Upton · World Congress 2022
2:27 min
Introduction to WebAssembly in a cloud computing context
Edo · World Congress 2024
2:36 min
Applying supervised machine learning for practical rule extraction
Katja Träumner
4:49 min
Scaling intent engineering with specialized team topologies frameworks
3:38 min
Shifting from monolithic architectures to microservices and containers
Markus Kett · World Congress 2022
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