DATA SCIENTIST AND AI ENGINEER WITH DATABRICKS
Summary
Design and deploy end-to-end AI systems using LLMs, RAG, and Databricks for enterprise clients, building robust data pipelines and lakehouse architectures.
Experteer Overview
Para una comprensión completa de esta oportunidad y de lo que se requerirá para ser un candidato exitoso, siga leyendo.
In this role you will design end-to-end AI solutions for large enterprise clients, built on robust data pipelines and lakehouse architectures. You will work with cross-functional teams across Spain in the xTech Competence Centre, delivering production-ready AI systems and advancing RAG, embeddings and LLM integrations. You will contribute to internal AI activities, sharing accelerators and best practices. This is a hands-on, impact-driven position at the intersection of data engineering and cutting-edge AI.
Compensaciones / Beneficios
• Design and implement end-to-end AI solutions including data pipelines and lakehouse architectures
• Build and deploy production-grade AI systems using LLMs and retrieval-augmented generation
• Develop and optimize ETL/ELT pipelines and data workflows in Databricks and cloud environments
• Integrate AI models into applications, APIs and business processes
• Collaborate with cross-functional teams and contribute to internal AI community and accelerators
• Model, evaluate and monitor AI systems, ensuring data quality and responsible AI principles
Responsabilidades
• Master's degree in a STEM field
• Strong quantitative and analytical skills
• Proficient in Python
• Hands-on PySpark experience
• Solid Databricks experience (notebooks, jobs, clusters, Delta Lake)
• ETL/ELT design in lakehouse or cloud environments
• Strong SQL and Postgres knowledge; data modeling and integration with AI workloads
• Experience with structured and unstructured data; text, documents, images, etc.
• Knowledge of Generative xqbhyrx AI techniques and LLMs; open-source LLMs (preferably Qwen)
• Experience with Retrieval-Augmented Generation, embeddings and vector search
• Prompt engineering and LLM orchestration
• API/data workflow integration; Git
• Model evaluation, data quality, monitoring and responsible AI
• Fluent in Spanish and English
Requisitos principales
• Growth u0026 Learning
• Hybrid working model
• Private health insurance
• Parental leave benefits
• Inclusive and ethical workplace
• Wellness and meal vouchers
Para una comprensión completa de esta oportunidad y de lo que se requerirá para ser un candidato exitoso, siga leyendo.
In this role you will design end-to-end AI solutions for large enterprise clients, built on robust data pipelines and lakehouse architectures. You will work with cross-functional teams across Spain in the xTech Competence Centre, delivering production-ready AI systems and advancing RAG, embeddings and LLM integrations. You will contribute to internal AI activities, sharing accelerators and best practices. This is a hands-on, impact-driven position at the intersection of data engineering and cutting-edge AI.
Compensaciones / Beneficios
• Design and implement end-to-end AI solutions including data pipelines and lakehouse architectures
• Build and deploy production-grade AI systems using LLMs and retrieval-augmented generation
• Develop and optimize ETL/ELT pipelines and data workflows in Databricks and cloud environments
• Integrate AI models into applications, APIs and business processes
• Collaborate with cross-functional teams and contribute to internal AI community and accelerators
• Model, evaluate and monitor AI systems, ensuring data quality and responsible AI principles
Responsabilidades
• Master's degree in a STEM field
• Strong quantitative and analytical skills
• Proficient in Python
• Hands-on PySpark experience
• Solid Databricks experience (notebooks, jobs, clusters, Delta Lake)
• ETL/ELT design in lakehouse or cloud environments
• Strong SQL and Postgres knowledge; data modeling and integration with AI workloads
• Experience with structured and unstructured data; text, documents, images, etc.
• Knowledge of Generative xqbhyrx AI techniques and LLMs; open-source LLMs (preferably Qwen)
• Experience with Retrieval-Augmented Generation, embeddings and vector search
• Prompt engineering and LLM orchestration
• API/data workflow integration; Git
• Model evaluation, data quality, monitoring and responsible AI
• Fluent in Spanish and English
Requisitos principales
• Growth u0026 Learning
• Hybrid working model
• Private health insurance
• Parental leave benefits
• Inclusive and ethical workplace
• Wellness and meal vouchers