Описание Dow Jones is a general 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, Market Watch, 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 Gen AI, NLP, ML, and IR, and apply best practices and cloud infrastructure to improve efficiency Требования 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 Py Torch, Hugging Face, Lang Chain, spa Cy, 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, and a passion for teamwork Условия Non-union role Competitive and flexible compensation The stated pay range is a good‑faith estimate and may vary based on experience, skills, location, and other relevant factors Bonus targets for eligible roles are based on market benchmarks and individual contributions Eligible roles include a benefits package covering health, retirement, wellbeing, and optional benefits #J-18808-Ljbffr

📌 Machine learning engineer in nlp (Barcelona)
🏢 HireHi
📍 Barcelona