Описание

Dow 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 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 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, 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

📌 machine learning engineer in NLP (Madrid)
🏢 Dow Jones
📍 Madrid