Todos los posibles candidatos deben leer con atención los siguientes detalles de este trabajo antes de presentar una candidatura.
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- AI Machine Learning Engineer
- Location: Barcelona
Role
As an AI/ML Engineer, you are a key technical contributor responsible for developing and deploying complex AI initiatives. You will focus on the end‑to‑end lifecycle of ML solutions—from technical design and coding to production deployment and continuous optimization. This is a high‑impact technical role. You will apply deep engineering rigor to build scalable, reliable systems that solve real‑world R&D; challenges. You don't just build models; you ensure they are integrated into robust software architectures that meet the highest standards of performance and reliability.
Responsibilities
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- Technical Implementation: Contribute to the design and development of scalable, maintainable AI solutions aligned with modern best practices.
- Hands‑on Development: Deliver high‑quality code for data, modelling, and deployment pipelines, leading the team through engineering rigor.
- MLOps Mastery: Implement and maintain robust MLOps workflows, focusing on automated CI/CD, containerization, and model observability.
- Agile Delivery: Work within an Agile framework to ensure research translates into predictable production value, meeting project milestones and deadlines.
- Business Advisory: Partner with technical and business stakeholders to translate business challenges into technical requirements and clear project updates.
Who you are
You are passionate about AI and driven to deliver real‑world impact through data. You thrive in R&D;‑heavy environments involving sparse or high‑dimensional data, excelling at the intersection of experimental AI research and disciplined software engineering. You are a clear communicator who can explain technical trade‑offs to both engineering peers and business stakeholders.