Senior Machine Learning Engineer

Position: Senior Machine Learning Engineer

Location: Barcelona

Department: Technology

**About the Role**

Dow Jones is seeking a skilled Senior Machine Learning Engineer to join our AI Engineering Team. You will be responsible for designing, building, and maintaining machine learning pipelines and infrastructure, supporting both conventional and GenAI models. You will collaborate with our data scientists to seamlessly integrate various machine learning models, including large language models (LLMs).

As a key team member, you will play a crucial role in operationalizing machine learning solutions to meet our organization's needs and deliver tangible value. You will leverage your strong software engineering skills to develop robust, secure, and scalable production systems, utilizing your expertise in machine learning algorithms and techniques.

**Responsibilities**
- Collaborate with data scientists and engineers to integrate ML models into various AI/ML pipelines, covering pre-processing, fine-tuning, and deployment.
- Implement optimized data storage and indexing systems for NLP, utilizing advanced database technologies.
- Develop tools and frameworks for model training, tuning, and evaluation, ensuring seamless infrastructure integration.
- Partner with data scientists and engineers to integrate models into production, leveraging cloud infrastructure as needed.
- Monitor and improve model performance for accuracy and efficiency.
- Provide ongoing support, troubleshoot issues, and implement updates for ML models.
- Build and maintain data processing pipelines for high volumes of structured and unstructured data.
- Develop and maintain documentation for all ML infrastructure and support processes.
- Stay updated on GenAI, NLP, ML, and IR technologies, incorporating best practices and leveraging cloud infrastructure for efficiency.

**Qualifications**
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related STEM field.
- 2-4 years of industrial experience in a machine learning engineering, data science or data engineering role.
- 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 (e.g., PyTorch, HuggingFace, LangChain, spaCy, NLTK, scikit-learn, etc.).
- Experience in developing and managing NLP-focused data infrastructure, including storage, indexing, and retrieval systems.
- Proficiency in vector storage, indexing, and graph database technologies for scalable operations in cloud environments.
- Familiarity with cloud-based infrastructure and services (e.g., AWS, GCP, etc.).
- Experience with containerization and orchestration technologies, such as Docker and Kubernetes, on cloud-based infrastructure.
- Experience with version control systems such as Git.
- Strong communication and collaboration skills, and a passion for working as part of a team.

Business Area: Dow Jones - Technology

Job Category: Data Analytics/Warehousing & Business Intelligence

Union Status:
Non-Union role

Since 1882, Dow Jones has been finding new ways to bring information to the world’s top business entities. Beginning as a niche news agency in an obscure Wall Street basement, Dow Jones has grown to be a worldwide news and information powerhouse, with prestigious brands including The Wall Street Journal, Dow Jones Newswires, Factiva, Barron’s, MarketWatch and Financial News.

This longevity and success is due to a relentless pursuit of accuracy, depth and innovation, enhanced by the wisdom of past experience and a solid grasp on the future ahead. More than its individual brands, Dow Jones is a modern gateway to intelligence, with innovative technology, advanced data feeds, integrated solutions, expert research, award-winning journalism and customizable apps and delivery systems to bring the information that matters most to customers, when and where they need it, every day.

Req ID: 47432