Join a European deep-tech leader in quantum and AI as an MLOps Engineer. Design, deploy, and monitor ML/LLM pipelines, scale cloud infrastructure, and collaborate with AI Researchers to enhance model performance. Experience in MLOps/LLM Ops, model/data parallelism, and frameworks like DeepSpeed and FSDP is required.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
MLOps Engineer | AI Start-up | fixed-term Contract
Join a European deep-tech leader in quantum and AI.
A well-funded, fast-growing company backed by major global investors with its groundbreaking technology is already transforming AI, compressing large language models by up to 95% and cutting inference costs by 50–80%.
This is your chance to be part of a team often described as a “quantum-AI unicorn in the making.”
This is a Hybrid opportunity working out of Barcelona. It is a fixed-term contract to work until 30th June 2026.
Given your background in tech recruitment, you likely want a version that is "scannable" for high-calibre candidates while retaining the specific technical "must-haves" like DeepSpeed and FSDP.
Here is a condensed, punchy version of the job description:
The Role
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- End-to-End Pipelines: Design, deploy, and monitor ML/LLM pipelines (data acquisition to production).
- Infrastructure & Automation: Scale cloud infrastructure (AWS/Azure) using GitOps, CI/CD, Docker, and Kubernetes.
- Optimisation: Collaborate with AI Researchers to enhance model performance, resource utilisation, and truth analysis.
- Innovation: Stay at the forefront of LLMOps to integrate the latest generative AI advancements.
Requirements
- Experience: 3+ years in MLOps/LLMOps within public cloud environments (AWS/Azure).
- ML Scaling: Expertise in model/data parallelism, hyperparameter tuning, and frameworks (DeepSpeed, FSDP, Ray, or Megatron-LM).
- GenAI Stack: Strong grasp of RAG (chunking, vectorisation), and LLMs (GPT-4, Llama 3, Mistral).
- Azure Mastery: Hands-on with Azure ML, AKS, CycleCloud, and Managed Lustre.
- Soft Skills: Fluent English (Spanish is a plus); ability to bridge the gap between technical and non-technical stakeholders.
- Education: Degree in Computer Science, Engineering, or a related field.
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Perks & Benefits:
- Compensation: Competitive salary, with a signing bonus and a retention bonus at the end of the contract.
- Flexibility: This is a hybrid role with flexible working hours. A relocation package is available if needed.
- Culture: We are a fast-scaling company committed to equal pay, diversity, and an inclusive culture. You'll gain international exposure in a multicultural, cutting-edge environment.
Interested? Apply directly through LinkedIn, or send your CV to [email protected]
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