Pagrindinis

AI Engineer

madrid, Spain Įmonė: JR Spain Klientas / Darbdavys: Kyndryl
Paskelbta: 23.05.2026
Galutinė data: 07.07.2026
Darbo nuoroda: b743b69c7031063d6fb317331ac23986

Informacija apie darbą

Vieta
madrid, Spain
Įmonė
JR Spain
Klientas / Darbdavys
Kyndryl
Darbo nuoroda
b743b69c7031063d6fb317331ac23986
Skelbimo tipas
Pagrindinis
Reikalingas ES darbo leidimas
Ne
Paskelbta
23.05.2026
Galutinė data
07.07.2026

Darbo aprašymas

* Decline will set your Cookie preferences to \"Required\" and will prevent Kyndryl and its partners from collecting and using Cookie data to collect statistics and to provide you a personalized web experience and more relevant ads on third party websites.AI Engineer page is loaded## AI Engineerremote type: Partially Remotelocations: Tres Cantos, Madrid, Spaintime type: Full timeposted on: Posted Todayjob requisition id: R-59869**Who We Are**At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.**The Role**Buscamos un/a **Senior AI Engineer** para diseñar, desarrollar y llevar a producción soluciones de Inteligencia Artificial con impacto real en negocio.Formarás parte de la **ampliación del proyecto de AIOps**, contribuyendo a la ejecución de casos de uso reales dentro de las Operaciones del banco y ayudando a escalar soluciones de IA a entornos críticos.Trabajarás en proyectos de ML y LLMs desde la idea hasta producción, colaborando estrechamente con equipos de Producto, Data y Software en un entorno técnico, colaborativo y en evolución constante.Responsabilidades principales:* Diseñar y desarrollar soluciones de IA/ML end-to-end (desde el prototipo hasta producción).* Definir la arquitectura del sistema (modelos, servicios, pipelines de datos, inferencia en tiempo real/batch).* Entrenar, evaluar y mejorar modelos (feature engineering, experimentación, métricas, análisis de errores, mitigación de sesgos).* Industrializar modelos (MLOps): versionado, reproducibilidad, CI/CD, despliegue, monitorización, retraining, gestión de drift.* Optimizar rendimiento y costes (latencia, throughput, cuantización, batching, ...).* Asegurar calidad y gobernanza: trazabilidad, documentación, cumplimiento (privacidad, seguridad, políticas internas, auditoría).* Contribuir a la calidad del código y a las buenas prácticas del equipo, apoyando a perfiles junior y mid.**Por qué unirte*** Proyectos de IA con impacto real y visibilidad.* Trabajo cercano con equipos multidisciplinares y para un cliente muy top en el sector banca.* Espacio para aprender, experimentar y proponer mejoras técnicas.* Entorno colaborativo y diverso.* Flexibilidad y cultura orientada a resultados.Si te motiva el rol y cumples gran parte de los requisitos (no hace falta todos), **nos encantará conocerte.****Who You Are****Imprescindible*** Experiencia desarrollando y desplegando modelos de Machine Learning en entornos de producción.* Experiencia con **LLMs**: prompting, RAG, embeddings, fine‐tuning y evaluación de calidad.* Buen dominio de **Python** y fundamentos de ingeniería de software (testing, clean code, diseño de APIs).* Data engineering básico-medio: SQL, calidad de datos, pipelines (batch/stream), formatos y orquestación.* Capacidad para explicar decisiones técnicas, riesgos y trade‐offs a públicos técnicos y no técnicos**Deseable*** Conocimientos de **cloud** (AWS, Azure o GCP) y servicios gestionados de ML.* Experiencia con prácticas de **MLOps** (versionado, reproducibilidad, despliegue y monitorización).* Conocimientos de **Docker/Kubernetes** y serving (FastAPI, gRPC).* Experiencia en NLP o Computer Vision, según el dominio.* Experiencia previa en mentoring o revisiones de código/diseño.**Being You**The “Kyn” in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don’t meet every requirement, we encourage you to apply. We believe in growth, and we’re excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging — being a valued, respected, trusted member of the team — is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That’s The Kyndryl Way.**What You Can Expect**Your career with us isn’t just a job—it’s an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health—because we know that when you feel your best, you do your best. From your very first day, you’ll dive into impactful work that powers the systems our customers rely on every day. You won’t just contribute—you’ll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth. We’re here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you’ll have everything you need to thrive and evolve. You’ll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities—from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you’ll be part of a culture that values empathy, restless learning, and a devotion to shared success.**Get Referred!**We’re glad you’re here. Take a look around at the many exciting career opportunities we have available and apply today! **Drop off your CV/Resume** and a Recruiter will reach out with related career information that match your experience and expertise. **Sign up for Job Alerts** Create your account and then . When new jobs become available that meet your criteria, you’ll be alerted right away!### Drive progress with purposeAt Kyndryl, we achieve progress the world depends on, with purpose.**Beginning with** **the purpose that matters to you**. Because here, you will be part of a culture designed with purpose. One that is restless, empathetic and devoted. Where we are committed to sustainable progress for our customers and supporting the communities where we work and live. All of you is what we want. And what we need. Join us, and together, we can advance the vital systems that power human progress. #J-18808-Ljbffr

Įgūdžiai

Agile Project Management Algorithms analyse big data analyse business requirements apply ICT systems theory apply systemic design thinking Artificial Neural Networks Assembly (computer programming) assess ICT knowledge build business relationships build predictive models build recommender systems Business Analytics Business Intelligence business process modelling C COBOL CoffeeScript Common Lisp computer programming Computer Simulation Computer Vision create data sets creatively use digital technologies Data Mining Data Models Data Science database development tools Deep Learning define technical requirements deliver visual presentation of data design application interfaces design database scheme design process develop creative ideas develop statistical software digital data processing Erlang Groovy Haskell ICT project management methodologies identify processes for re-engineering Information Architecture information categorisation Information Extraction information structure Java (computer programming) JavaScript lean project management LINQ Lisp manage business knowledge manage ICT data classification manage ICT semantic integration Matlab Microsoft Visual C++ ML (computer programming) N1QL Objective-C OpenEdge Advanced Business Language operational research Pascal (computer programming) perform dimensionality reduction Perl PHP principles of artificial intelligence Process-based management Prolog (computer programming) Python (computer programming) R resource description framework query language Ruby (computer programming) SAP R3 SAS language Scala Scratch (computer programming) Smalltalk (computer programming) SPARQL Swift (computer programming) systems development life-cycle task algorithmisation TypeScript Unstructured Data use data processing techniques utilise machine learning VBScript Visual Basic visual presentation techniques

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