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In this role you design and implement AI solutions to automate business workflows and enhance reporting within Dow Jones. You work across data science, data engineering, and product teams to deliver impactful machine learning and NLP capabilities. You will build scalable pipelines, validate models, and leverage cloud services to deploy AI-enabled tools. This position offers the chance to influence risk and research workflows with advanced analytics in a general information company.

Compensaciones / Beneficios
• Own development, deployment, and maintenance of ML models and LLM-based solutions for automated workflows and reporting
• Apply NLP and information retrieval to extract structured data from unstructured text
• Build and maintain robust data pipelines for high-volume processing, enrichment, and model training using Python, SQL, and cloud services
• Collaborate with business, product,



and engineering teams to elicit requirements and translate problems into technical solutions
• Leverage external APIs (including LLMs) for data enrichment and model integration; deploy tools in cloud environments (AWS/GCP)
• Document workflows and ensure reproducibility, versioning, and quality assurance across solutions

Responsabilidades
• 3+ years in data science or applied ML with emphasis on modeling and pipeline development
• Strong Python programming and experience with ML libraries (scikit-learn, XGBoost, TensorFlow, PyTorch)
• Experience with LangChain or LlamaIndex; designing, building and deploying AI agents
• Proven ability to write and optimize complex SQL queries and handle large datasets
• Familiarity with Git xqbhyrx and reproducible workflows (notebooks, scripts, containers)
• Hands-on experience deploying workloads in AWS; familiarity with S3, Glue, Lambda, Athena; API integration with LLMs and external dat

📌 AI Engineer (Barcelona)
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