- The AI Platform team is the backbone of Aily’s decision intelligence. We design, build, and operate libraries, tools, and the shared AI/ML infrastructure that enables AI & Data teams to empower business-critical decision-making for our enterprise users
- Our 3 missions are to enable innovation at scale, to minimize entropy, and to accelerate progress for Aily
- If you enjoy working at the intersection of AI and software, closely collaborating & empowering other teams, setting technical direction, and turning complexity into leverage, this team is the right place to make your mark
- Contribute to building and maintaining ML systems and pipelines (data → model → deployment → monitoring) with guidance from mid/senior engineers
- Support productization of AI/ML models and LLMs by working on APIs, infrastructure, and applying software engineering best practices (testing, CI/CD, versioning)
- Collaborate with data scientists and engineers to deliver scalable solutions, monitor systems in production, and communicate progress and technical challenges




- Partner with Data Scientists and Engineers to bring AI solutions to production
- Design and implement end-to-end ML pipelines (data→model→deployment→monitoring) autonomously
- Contribute to APIs, tools, and libraries used by more than 100 AI team members daily (including Cloud & LLM Infrastructure and AI-driven features)
- Communicate with your team: present results and findings, identify gaps and opportunities, and learn to explain our product and software/AI behind
Benefits
- Hybrid working model
- Fast growth path
- General company and culture- 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

📌 MID AI/ML Engineer (Madrid)
🏢 Aily Labs
📍 Madrid