Pagrindinis
AI Engineer
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.
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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