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MID AI/ML Engineer
Aily Labs · Barcelona, Spain
About The Role
Join Aily, a global company at the forefront of decision intelligence. As a MID AI/ML Engineer, you will be part of the AI Platform team, responsible for designing, building, and operating the shared AI/ML infrastructure that empowers business-critical decision-making for enterprise users. You will collaborate with data scientists and engineers, contribute to the productization of AI/ML models, and design and implement end-to-end ML pipelines. This is an exciting opportunity for those who thrive at the intersection of AI, business, ML engineering, and product.
- Contribuir a la construcción y mantenimiento de sistemas y pipelines de ML (datos → modelo → implementación → monitoreo) con orientación de ingenieros de nivel medio/senior.
- Apoyar la productización de modelos de IA/ML y LLMs trabajando en APIs, infraestructura y aplicando las mejores prácticas de ingeniería de software.
- Colaborar con científicos de datos e ingenieros para entregar soluciones escalables, monitorear sistemas en producción y comunicar el progreso y los desafíos técnicos.
- 3+ years of experience
- Applicants must already have the legal right to work in Spain or Germany
- You are impact-driven and thrive at the intersection of AI, business, ML engineering, and product. You want to build real systems that power decision-making at scale
- Requirements: Solid AI/ML fundamentals, strong Python, APIs/K8s/Docker/Cloud experience, mentor junior team members on technical topics
- Ready to Lead Boldly - helping Aily and its customers scale AI systems that enable faster, smarter decisions every day
- A strong collaborator who enjoys working with Data Scientists, Product Managers, and Engineers, and can explain trade-offs and designs in simple terms
- Someone with a startup mindset: comfortable with ambiguity, proactive, hands-on, and willing to improve things beyond your immediate scope
- A builder: you enjoy shipping reliable solutions, improving systems and tooling, and making things work in production at scale
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