Описание Dow Jones is a integral provider of news and business information, delivering content to consumers and organizations worldwide through print, digital, mobile, and live event formats. Its portfolio includes The Wall Street Journal, Barron's, MarketWatch, Mansion Global, Financial News, Dow Jones Risk & Compliance, and Dow Jones Newswires.
Задачи Own the development, deployment, and maintenance of machine learning models and LLM-based solutions that automate business workflows and enhance reporting capabilities
Apply NLP and information retrieval techniques to extract structured information from unstructured text content
Build and maintain robust data pipelines for high-volume data processing, enrichment, and model training using Python, SQL, and cloud services
Analyze, clean, and preprocess large datasets to optimize reusable ML models
Collaborate with business, product, and engineering teams
Elicit stakeholder requirements, define business problems, and translate them into well-scoped technical solutions
Use external APIs, including LLM APIs, for data enrichment,
preprocessing, and model integration
Deploy models and automation tools using AWS and GCP cloud services
Document workflows, validate results, and follow best practices for model performance, versioning, and reproducibility
Требования Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related STEM field
3+ Years of experience in a data science or applied ML role with a strong focus on modeling and pipeline development
Exceptional Python programming skills
Hands-on experience with scikit-learn, XGBoost, TensorFlow, or PyTorch
Experience with modern AI frameworks and SDKs such as LangChain or LlamaIndex
Proven experience designing, building, and deploying AI agents to automate complex workflows
Experience writing and optimizing complex SQL queries and handling large datasets
Familiarity with Git and reproducible workflows such as notebooks, scripts, and containers
Hands-
📌 ai engineer for business information (España)
🏢 Enfint
📍 España