Senior AI/ML Engineer - BCN/MAD

Aily Labs SLU

Madrid

Híbrido

EUR 70.000 - 110.000

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

Hybrid work policy
Global team

Descripción de la vacante

Aily Labs SLU is seeking a Senior AI/ML Engineer to scale our AI Platform and productionize AI/ML models. You will own end-to-end ML pipelines, collaborate with Data Scientists and Engineers, and help shape robust, scalable AI infrastructure across the company.

Join a global team and contribute to high-impact decision intelligence products enabling enterprise customers to act on data in real-time. Hybrid work across Madrid, Barcelona, and Munich is supported.

Formación

  • 5+ years of experience in AI/ML engineering or related field.
  • Strong Python and API development experience.
  • Hands-on with Kubernetes, Docker, and cloud platforms.
  • Experience mentoring junior engineers and leading technical initiatives.

Responsabilidades

  • Support productization of AI/ML models and LLMs by working on APIs, infrastructure, and applying software engineering best practices (testing, CI/CD, versioning)
  • Partner with Data Scientists and Engineers to bring AI solutions to production
  • Design and implement end-to-end ML pipelines and monitoring for production systems
  • Contribute to APIs, tools, and libraries used by the AI team daily
  • Sponsor the creation and implementation of new software and ML standards in the AI team

Conocimientos

Python
APIs
Kubernetes
Docker
Cloud experience
mentoring
AI/ML fundamentals
Communication

Herramientas

CI/CD
Git

Descripción del empleo

Mission

Are you ready to take part in the upcoming AI revolution of the business world? If the answer is a resounding \"yes,\" we have an extraordinary opportunity for you!


About Us

Aily Labs is a B2B SaaS company building an AI-powered decision intelligence app for enterprises. Our mobile-first platform combines company data with advanced machine learning, large language models, and agentic AI to give business leaders clear, actionable insights in real time.


Instead of traditional dashboards and reports, Aily delivers simple, personalized recommendations that help teams decide and act faster across finance, supply chain, R&D, commercial, and more. The app is designed to be intuitive for end users and easy to integrate for IT, so companies can move from analysis and indecision to confident, data-driven decisions every day.


Founded in 2020 in Munich, Aily Labs has grown into a global team of 300+ people across Munich, Barcelona, Madrid, Cluj, and New York. Our mission is to democratize AI in business and enable leaders to Lead Boldly , turning complex data into decisions that drive real, measurable impact.


We are looking for Senior AI/ML Engineers who are passionate about the power of AI and love building robust AI/ML systems: people who turn models into reliable, scalable products, and ensure our AI solutions are production-ready, efficient and impactful. Your job is to build and scale the AI/ML infrastructure and pipelines that power Aily’s decision intelligence platform.


About this team - AI Platform

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.


Your profile

Core responsibilities


  • 5+ years of experience

  • Support productization of AI/ML models and LLMs by working on APIs, infrastructure, and applying software engineering best practices (testing, CI/CD, versioning)

  • Partner with Data Scientists and Engineers to bring AI solutions to production

  • Design and implement end-to-end ML pipelines (datamodeldeploymentmonitoring) 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

  • Requirements: Solid AI/ML fundamentals, strong Python, APIs/K8s/Docker/Cloud experience, mentor junior team members on technical topics

  • Own complex projects, lead technical initiatives from design to implementation (refactoring, standardization)

  • Ensure the quality of your own and your teams' developments

  • Interact with other functions and agree on exchange protocols and architecture design (DevOps, Front End, Data Engineering, Back End, …)

  • Sponsor the creation and implementation of new software and ML standards in the AI team

  • Requirements: Strong software engineering practices, Deep AI/ML knowledge, outstanding problem-solving skills, ability and willingness to lead and mentor Junior team members


Who we’re looking for


  • 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.

  • A builder: you enjoy shipping reliable solutions, improving systems and tooling, and making things work in production at scale.

  • 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.

  • Ready to Lead Boldly - helping Aily and its customers scale AI systems that enable faster, smarter decisions every day.

  • Applicants must already have the legal right to work in Spain or Germany


Location & details


  • Locations: Madrid (MAD), Barcelona (BCN), and Munich

  • Contract type: Permanent.

  • Work policy: Hybrid (2 days per week in the office)

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