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Senior Ml Engineer: Genai, Mlops & Cloud (Remote)

Bluetab, an IBM Company
Girona, Spain
7 days ago
Apply on www.buscojobs.com.es
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Job source
www.buscojobs.com.es

Tech stack

Cloud Computing Machine Learning Operations

Job description

Bluetab, an IBM Company, busca un ML Engineer para diseñar e implantar soluciones de IA en entornos cloud e híbridos.Trabajaras en la producción de asistentes virtuales y asegurarás su rendimiento dentro de un ecosistema de microservicios.El rol exige experiencia en ML/NLP, integración de agentes, y habilidades en herramientas de orquestación; se valorará conocimiento en MLOps y prácticas de desarrollo ágiles.#J-*****-Ljbffr

Requirements

El rol exige experiencia en ML/NLP, integración de agentes, y habilidades en herramientas de orquestación; se valorará conocimiento en MLOps y prácticas de desarrollo ágiles.

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

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

4:25 min

Optimizing agricultural practices through automated machine learning operations

Simi Olabisi · LIVE

2:27 min

Introduction to WebAssembly in a cloud computing context

Edo Edo · World Congress 2024

2:44 min

Defining core roles and responsibilities in MLOps teams

Bas Geerdink · LIVE

2:19 min

Applying machine learning operations principles for robust automation

Simon Stiebellehner · World Congress 2021

2:51 min

Alibaba Cloud developer resources and cloud computing training

Cheng Zhang · LIVE

4:36 min

Hiring passionate software engineers to tackle unprecedented scaling challenges

Dana Lawson Dana Lawson +1 · World Congress 2026 Europe

Videos

See all
Effective Machine Learning - Managing Complexity with MLOps thumbnail
45:45
World Congress 2021 • about 5 years ago

Effective Machine Learning - Managing Complexity with MLOps

Simon Stiebellehner

Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps thumbnail
35:19
Coffee With Developers • 4 months ago

Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps

Hazal Mestci, Raph Terrier

Green Cloud Computing thumbnail
35:20
LIVE • over 3 years ago

Green Cloud Computing

Doreen Sacker

MLOps - What’s the deal behind it? thumbnail
29:24
World Congress 2022 • over 4 years ago

MLOps - What’s the deal behind it?

Nico Axtmann

Leverage Cloud Computing Benefits with Serverless Multi-Cloud ML thumbnail
39:58
LIVE • almost 6 years ago

Leverage Cloud Computing Benefits with Serverless Multi-Cloud ML

Linda Mohamed

LLMOps-driven fine-tuning, evaluation, and inference with NVIDIA NIM & NeMo Microservices thumbnail
29:20
World Congress 2025 • about 1 year ago

LLMOps-driven fine-tuning, evaluation, and inference with NVIDIA NIM & NeMo Microservices

Anshul Jindal

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