Randstad is a global leader in the HR services industry, specializing in recruitment, staffing, and outsourcing solutions across 39 countries. As one of the world's largest HR providers, the company operates at a massive scale, connecting millions of candidates with opportunities in sectors ranging from technology and engineering to healthcare and logistics.

In Spain, Randstad maintains one of the most extensive professional networks in the country, with a presence in nearly every major city. For international professionals, Randstad serves as a primary entry point into the Spanish labor market, offering specialized recruitment services through divisions like Randstad Technologies and Randstad Professionals, which frequently handle roles for multinational clients requiring English or other foreign languages.

Founded in 1960 by Frits Goldschmeding in the Netherlands, Randstad has grown from a small local operation into the world's largest HR service provider. The company expanded into Spain in the 1990s and has since solidified its position through major acquisitions like Vedior.

For international professionals

Operates a vast network of over 200 offices across Spain, providing local support in almost every province.
Features specialized divisions for IT, Engineering, and Life Sciences that are highly relevant for skilled international workers.
Acts as a primary recruiter for many Fortune 500 companies established in Spain.
Provides a wide variety of contract types, including permanent placements and long-term outsourcing projects.

Senior Data and AI Engineer with Disability Certificate

Randstad España

This job was originally posted in Spanish and automatically translated to English. You'll most likely need Spanish to apply.

Job Description

Are you an established professional in the design of Artificial Intelligence architectures and MLOps? Do you want to lead strategic advanced analytics and cybersecurity projects in a top-tier technology center? If you have more than 5 years of experience and hold a disability certificate, this offer represents your next big professional step!

The Senior Data AI Engineer will be responsible for leading the design, development, and implementation of advanced artificial intelligence solutions applied to strategic projects in cybersecurity, digital transformation, process optimization and automation, and predictive analytics. They will coordinate the development of complex predictive models, participate in the definition of AI system architectures, oversee validation activities and proofs of concept, and rigorously document solutions. Additionally, they will perform technical mentoring functions, ensuring the quality of implementations and promoting innovation best practices within the team. They will also define the ML/MLOps architecture and observability systems (service monitoring, data/model drift, and business metrics), and drive prescriptive analytics/optimization and geointelligence where applicable.

- Mandatory requirement: Possess a legally recognized Disability Certificate of 33% or higher.

Education and position requirements:
- Higher degree, preferably in Telecommunications Engineering, Computer Engineering, Mathematics, Physics, or similar.
- Programming languages: Python (primarily) and R.
- AI platforms and frameworks: Consolidated experience in TensorFlow, PyTorch, Keras, scikit-learn (XGBoost/LightGBM valued).
- Solid knowledge of machine learning algorithms: deep neural networks, anomaly detection algorithms, advanced clustering, classification and regression; time series and rigorous modeling evaluation.
- Knowledge of big data analysis, preprocessing techniques, and advanced statistical analysis.
- Experience in Big Data/Cloud and data engineering.
- Experience in MLOps.
- Experience in developing AI solutions applied to digital transformation, automation, and process analytics environments.
- Experience in agile methodologies, programming best practices, CI/CD, and MLOps.
- Technical leadership capacity and collaboration in multidisciplinary environments.
- Knowledge of cybersecurity projects is valued, although it is not the main focus.

Experience:
- At least 5 years of experience in the development of artificial intelligence solutions.
- At least 2 years in technological transformation, automation, or advanced analytics projects in high-demand environments; experience taking PoCs to production with monitoring is desirable.

- Permanent contract.
- Flexible working hours to balance your personal life and professional development. Flexible start and end times.
- Hybrid model (Carabanchel area). 60% remote work / 40% on-site.
- Remuneration commensurate with your experience, education, and development.
- Flexible compensation.
- 23 working days of vacation + agreement days.
- Facility accessibility: Offices located in Carabanchel equipped with an elevator at the rear of the building (the workplace restrooms are not adapted for severe reduced mobility).

View original advert (Spanish)

¿Eres un profesional consolidado en el diseño de arquitecturas de Inteligencia Artificial y MLOps? ¿Quieres liderar proyectos estratégicos de analítica avanzada y ciberseguridad en un centro tecnológico de primer nivel? Si tienes más de 5 años de experiencia y cuentas con certificado de discapacidad, ¡esta oferta representa tu próximo gran paso profesional!

El/la Senior Data AI Engineer será responsable de liderar el diseño, desarrollo e implementación de soluciones avanzadas de inteligencia artificial aplicadas a proyectos estratégicos en ciberseguridad, transformación digital, optimización y
automatización de procesos y analítica predictiva. Coordinará el desarrollo de modelos predictivos complejos, participará en la definición de arquitecturas de sistemas de IA, supervisará actividades de validación y pruebas de concepto, y documentará rigurosamente las soluciones. Además, ejercerá funciones de mentoring técnico, asegurando la calidad de las implementaciones y promoviendo buenas prácticas de innovación dentro del equipo. También definirá la arquitectura ML/MLOps y sistemas de observabilidad (monitorización de servicio, drift de datos/modelo y métricas de negocio), e impulsará analítica prescriptiva/optimización y geointeligencia cuando aplique.

- Requisito obligatorio: Disponer de un Certificado de Discapacidad igual o superior al 33% legalmente reconocido.

Formación y requisitos del puesto:
- Titulación superior, preferentemente en Ingeniería de Telecomunicación, Ingeniería Informática, Matemáticas, Física o similar.
- Lenguajes de programación: Python (principalmente) y R.
- Plataformas y frameworks de IA: Experiencia consolidada en TensorFlow, PyTorch, Keras, scikit-learn (valorable XGBoost/LightGBM).
- Conocimientos sólidos en algoritmos de aprendizaje automático: redes neuronales profundas, algoritmos de detección de anomalías, clustering avanzado, clasificación y regresión; series temporales y evaluación rigurosa del modelado.
- Conocimientos de análisis de grandes volúmenes de datos (big data), técnicas de preprocesamiento y análisis estadístico avanzado.
- Experiencia en Big Data/Cloud y data engineering.
- Experiencia en MLOps.
- Experiencia en el desarrollo de soluciones de IA aplicadas a entornos de transformación digital, automatización y analítica de procesos.
- Experiencia en metodologías ágiles, buenas prácticas de programación, CI/CD y MLOps.
- Capacidad de liderazgo técnico y colaboración en entornos multidisciplinares.
- Valorables conocimientos en proyectos de ciberseguridad, aunque no es el foto principal.

Experiencia:
- Al menos 5 años de experiencia en el desarrollo de soluciones de inteligencia artificial.
- Al menos 2 años en proyectos de transformación tecnológica, automatización o analítica avanzada en entornos de alta exigencia; deseable experiencia llevando PoC a producción con monitorización.

- Contrato indefinido.
- Jornadas de trabajo flexibles para que puedas conciliar tu vida personal y tu desarrollo profesional. Entrada y salida flexible.
- Modalidad híbrida (zona Carabanchel). 60% teletrabajo / 40% presencialidad.
- Retribución acorde con tu experiencia, formación y desarrollo.
- Retribución flexible.
- 23 días laborables de vacaciones + días por convenio
- Accesibilidad de instalaciones: Oficinas ubicadas en Carabanchel equipadas con ascensor por la parte trasera del edificio (los aseos del centro de trabajo no están adaptados para movilidad reducida severa).