Machine Learning Engineer

DeepRec.ai; Barcelona; Híbrido; EUR 55.000 - 85.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible working hours

Meaningful bonuses

Descripción de la vacante

A leading deep-tech scale-up in Barcelona seeks an engineer to deploy and monitor LLMs for enterprise clients. This role offers hands-on experience with large-scale AI deployment while working with quantum and AI experts. The ideal candidate has experience running LLMs in production and knowledge of cloud infrastructure, CI/CD, and Kubernetes. Benefits include flexible working hours, a hybrid setup, and bonuses on top of the base salary.

Formación

• Experience with automating and optimizing ML processes.
• Ability to monitor and maintain the stability of ML systems.
• Understand what it takes to keep ML systems stable, monitored and efficient once they’re live.

Responsabilidades

• Take compressed LLMs and deploy them reliably for enterprise customers.
• Improve automation, reliability, and cost efficiency across the ML lifecycle.
• Work closely with researchers and engineers to align research and production.

Conocimientos

Experience running LLMs in production

Cloud infrastructure

Containers

CI/CD

Kubernetes

Herramientas

Docker

Terraform

Descripción del empleo

EU work authorisation required

Total bonus package available over the contract: up to €5,000+ depending on start date.

You join one of Europe’s most recognised deep-tech scale-ups. Backed by major global investors and strong EU support, they have built one of the most credible AI compression products in the market.

This compression tool is already live with major enterprise clients. Now they need more engineers to help deploy, monitor and scale it properly.

Why apply?

You will work alongside highly technical quantum and AI engineers operating at a very high level.

You will gain hands-on exposure to large-scale LLM deployment, distributed training and real-world cost optimisation.

You will have a globally recognised deep-tech brand on your CV, working on AI efficiency at scale. That combination of compression, distributed systems and enterprise deployment opens doors across AI infrastructure, LLMOps and high-performance ML environments.

You get flexible working hours. Start early, start late, structure your day how you want. Hybrid setup (3 days in office) in Barcelona or San Sebastián.

You get meaningful bonuses on top of base salary.

What you’ll actually be doing

• Helping take compressed LLMs and get them deployed, monitored and running reliably for enterprise customers.
• Improving automation, reliability and cost efficiency across the ML lifecycle.
• Working closely with researchers and platform engineers to bridge research and production.

What you'll need

• Experience running LLMs in production.
• Comfort working with the infrastructure around them, cloud, containers, CI/CD, Kubernetes, that sort of thing.
• Someone who understands what it takes to keep ML systems stable, monitored and efficient once they’re live.