ОписаниеDow Jones is a global provider of news and business information, delivering content to consumers and organizations worldwide across print, digital, mobile, and live event formats. It operates a global newsgathering organization and publishes products including The Wall Street Journal, Barron’s, MarketWatch, Mansion General, Financial News, Dow Jones Risk & Compliance, and Dow Jones Newswires.ЗадачиIntegrate ML models into AI/ML pipelines, including preprocessing, fine-tuning, and deploymentImplement optimized data storage and indexing systems for NLPDevelop tools and frameworks for model training, tuning, and evaluationIntegrate models into production using cloud infrastructure as neededMonitor and improve model accuracy and efficiencySupport ML models, troubleshoot issues, and implement updatesBuild and maintain data processing pipelines for large volumes of structured and unstructured dataMaintain documentation for ML infrastructure and support processesTrack developments in GenAI, NLP, ML, and IR, and apply best practices and cloud infrastructure to improve efficiencyТребованияBachelor's or Master's degree in Computer Science, Engineering, Data Science,



or a related STEM field2–4 Years of industrial experience in machine learning engineering, data science, or data engineeringStrong programming skills in Python and/or another high‑level language commonly used in machine learningExperience with NLP and machine learning frameworks and libraries, such as PyTorch, HuggingFace, LangChain, spaCy, NLTK, or scikit‑learnExperience developing and managing NLP‑focused data infrastructure, including storage, indexing, and retrieval systemsProficiency in vector storage, indexing, and graph database technologies for scalable cloud operationsFamiliarity with cloud infrastructure and services such as AWS or GCPExperience with Docker and Kubernetes on cloud infrastructureExperience with GitStrong communication and collaboration skills, and a passion for teamworkУсловияNon-union roleCompetitive and flexible compensationThe stated pay range is a good‑faith estimate and may vary based on experience, skills, location, and other relevant factorsBonus targets for eligible roles are based on market benchmarks and individual contributionsEligible roles include a benefits package covering health, retirement, wellbeing, and optional benefits#J-18808-Ljbffr

📌 Machine Learning Engineer In Nlp (Madrid)
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📍 Madrid