AWS Engineer (Python)

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. Design, deploy, and monitor ML/LLM pipelines (data acquisition to production). 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. Experience:

3+ years in MLOps/LLMOps within public cloud environments (AWS/Azure). Expertise in model/data parallelism, hyperparameter tuning, and frameworks (DeepSpeed, FSDP, Ray, or Megatron-LM). Azure Mastery:

Hands-on with Azure ML, AKS, CycleCloud, and Managed Lustre. Soft Skills:

Fluent English (Spanish is a plus); Degree in Computer Science, Engineering, or a related field.

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. We are a fast-scaling company committed to equal pay, diversity, and an inclusive culture. By applying to this role you understand that we may collect your personal data and store and process it on our systems.