As an AI Model Engineer, you will be responsible for the end-to-end lifecycle of our AI models. You will develop, train, evaluate, and optimize models and datasets, ensuring every experiment is reproducible and delivers measurable performance improvements.
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You will bridge the gap between raw data and production-ready intelligence.
Day-to-day life
Operational & Tactical Management
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- Train and fine-tune models independently using state-of-the-art frameworks.
- Design rigorous experiment plans, including benchmarking and ablation studies, to drive model evolution and improvement.
- Design dataset preparation, filtering, and versioning strategies and tools to ensure high-quality training data.
- Define evaluation protocols, apply model optimisation techniques, and export models for specific production targets.
- Maintain reproducible experiment pipelines and produce detailed technical evaluation reports.
Strategic Contribution
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- Workflow Improvement by proposing and implementing enhancements to internal training and evaluation workflows.
- Contribute to the definition of model engineering standards and review experiment pipelines developed by junior team members.
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- Coordinate with Production Engineers on model I/O and constraints, and support external technical demos or presentations.
Our Soulmate
Soft skills
A meticulous approach to testing and documenting results.
Ability to identify bottlenecks and propose technical solutions.
Skilled at translating complex model behaviors into clear reports and collaborating across teams.
A continuous learning mindset and receptiveness to peer feedback.
Experience
3-6 years of experience in AI Model Engineering
Degree in Computer Science, Data Science, Mathematics, or a related field.
Deep understanding of the AI model lifecycle, MLOps fundamentals, and model optimi
📌 Model AI Engineer (Barcelona)
🏢 Fluendo
📍 Barcelona
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