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описание
Req ID: 55477
Dow 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 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
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