Senior ML Engineer: NLP & GenAI Pipelines

Dow Jones; Barcelona; On-site; EUR 70,000 - 100,000; Full time

Job summary

Dow Jones is seeking a Senior Machine Learning Engineer to join our AI Engineering Team in Barcelona. You will design, build, and maintain ML pipelines and infrastructure supporting both conventional and GenAI models, collaborating with data scientists to integrate a range of ML models.

As a key team member, you will operationalize ML solutions, develop robust production systems, and leverage cloud services to ensure secure and scalable deployments.

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.

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.

Skills

Programming in Python

Communication

Team collaboration

Education

Bachelor's degree

Master's degree

Tools

PyTorch

HuggingFace

LangChain

spaCy

NLTK

scikit-learn

Docker

Kubernetes

Git

Job description

Dow Jones is seeking a Senior Machine Learning Engineer to join our AI Engineering Team in Barcelona. You will design, build, and maintain ML pipelines and infrastructure supporting both conventional and GenAI models, collaborating with data scientists to integrate a range of ML models.

As a key team member, you will operationalize ML solutions, develop robust production systems, and leverage cloud services to ensure secure and scalable deployments.