ОписаниеDow Jones is a integral 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 Global, Financial News, Dow Jones Risk & Compliance, and Dow Jones Newswires.Задачи- Integrate ML models into AI/ML pipelines, including preprocessing, fine-tuning, and deployment- Implement optimized data storage and indexing systems for NLP- Develop tools and frameworks for model training, tuning, and evaluation- Integrate models into production using cloud infrastructure as needed- Monitor and improve model accuracy and efficiency- Support ML models, troubleshoot issues, and implement updates- Build and maintain data processing pipelines for large volumes of structured and unstructured data- Maintain documentation for ML infrastructure and support processes- Track developments in GenAI, NLP, ML, and IR,



and apply best practices and cloud infrastructure to improve efficiencyТребования- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related STEM field- 2–4 Years of industrial experience in machine learning engineering, data science, or data engineering- Strong programming skills in Python and/or another high‑level language commonly used in machine learning- Experience with NLP and machine learning frameworks and libraries, such as PyTorch, HuggingFace, LangChain, spaCy, NLTK, or scikit‑learn- Experience developing and managing NLP‑focused data infrastructure, including storage, indexing, and retrieval systems- Proficiency in vector storage, indexing, and graph database technologies for scalable cloud operations- Familiarity with cloud infrastructure and services such as AWS or GCP- Experience with Docker and Kubernetes on cloud infrastructure- Experience with Git- Strong communication and collaboration skills,

📌 Machine Learning Engineer In Nlp (Barcelona)
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📍 Barcelona