Overview
Maximice sus posibilidades de que su candidatura sea seleccionada asegurándose de que su CV y sus habilidades se ajustan al perfil.
As an AI Solutions Specialist, you design, deploy, and maintain ML and LLM-driven automations for our B2B Risk and Research workflows. You own end-to-end data science processes, from data analysis to production pipelines, delivering actionable insights. You’ll work with cross‑functional teams to translate business needs into technical solutions and leverage cloud APIs for advanced data enrichment. This role blends modeling with robust data engineering to drive scalable, high‑quality AI-enabled reporting.
Compensaciones / Ventajas
Comprehensive Healthcare Plans
30 days of holidays/year
Remote work options 3 months/year or 1 week per quarter
Meal benefit with Pluxee
Retirement plans with employer match
Well-being resources and allowances
Responsabilidades
Own the development, deployment, and maintenance of ML models and LLM-based solutions to automate workflows and enhance reporting
Apply NLP and information retrieval to extract structured info from unstructured text
Build and maintain robust data pipelines for high-volume processing, enrichment, and model training using Python,



SQL, and cloud services
Collaborate cross-functionally with business, product, and engineering teams to translate requirements into technical solutions
Leverage external APIs including LLM APIs for data enrichment or model integration; deploy tools using cloud services (AWS and GCP)
Ensure high standards through documentation, validation, and reproducible workflows
Requisitos principales
Bachelor’s or Master’s degree in a quantitative field
3+ years in a data science or applied ML role with modeling and pipeline experience
Strong xqbhyrx Python programming and ML libraries (scikit-learn, XGBoost, TensorFlow, PyTorch)
Experience with AI frameworks/SDKs (LangChain, LlamaIndex) and building/deploying AI agents
SQL proficiency and handling large datasets; version control (Git) and reproducible workflows
Cloud experience deploying workloads (AWS; S3, Glue, Lambda, Athena) and secure API integration with LLMs
Strong problem-solving and attention to detail
Excellent communication to non-technical audiences
Cross-functional collaboration
Python
scikit-learn
XGBoost

📌 AI Engineer (Barcelona)
🏢 Dow Jones
📍 Barcelona