Join a pioneering Quantum AI company that’s redefining how artificial intelligence is built and deployed!
Location: Zaragoza (Hybrid)
Contract: Fixed Term contract ending 30th June 2026
Responsibilities
* Develop end-to-end data and model pipelines: source, augment, and validate datasets;
design and managetraining, fine-tuning, and evaluation workflows;
deliver production-ready models that meet customer needs.
* Design rigorous evaluation frameworks to ensure model competence and alignment through statistical testing, reliability assessment, and continuous monitoring.
* Optimize training and inference performance using distributed compute resources, reducing latency, and identifying algorithmic or systems-level efficiency improvements.
* Enhance models post-training by applying supervised fine-tuning (SFT), preference optimization, and reinforcement learning techniques to improve reasoning, safety, and helpfulness.
* Compress and specialize models using advanced optimization techniques to meet performance and deployment constraints.
* Collaborate across research and engineering teams on data curation, training experiments, model serving, and system observability.
* Contribute to shared ML infrastructure, writing clean, well-tested, and maintainable Python code, documenting key decisions, and upholding high engineering standards.
Qualifications
* Bachelor’s degree (or higher) in Computer Science, Mathematics, Physics, Data Science, Operations Research, or a related field.
* Strong programming skills in Python and modern machine learning frameworks such as PyTorch.
* Experience with data processing tools (NumPy, Pandas) and software best practices (Git, unit testing, CI/CD).
* Solid understanding of language model training, architecture, and evaluation concepts.
* Hands-on experience with large-scale datasets, including collection, cleaning, annotation, and quality assurance.
* Practical experience using GPUs, containerized workflows (Docker), and distributed or cloud-based job orchestration.
* Ability to interpret research papers, prototype rapidly, and turn ideas into reproducible, production-ready code.
* Excellent communication skills and a collaborative, problem-solving mindset.
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