Senior Machine Learning Engineer

Dow Jones & Co.; Madrid; On-site; EUR 70,000 - 90,000; Full time

Job summary

Dow Jones is hiring a Senior Machine Learning Engineer to join the AI Engineering Team in Madrid. You will design, build, and maintain ML pipelines and infrastructure, supporting conventional and GenAI models.

Collaborate with data scientists to integrate LLMs and other models into scalable production systems. You will leverage strong software engineering skills to create robust, secure, and scalable ML solutions, working across data processing, model training, and deployment in a cloud

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related STEM field.
• 2-4 years of industrial experience in ML engineering, data science or data engineering.
• Strong Python programming skills.

Responsibilities

• Collaborate with data scientists and engineers to integrate ML models into AI/ML pipelines, covering pre-processing, fine-tuning, deployment.
• Implement optimized data storage and indexing systems for NLP.
• Develop tools and frameworks for model training, tuning, and evaluation.
• 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 and updates for ML models.
• Build and maintain data processing pipelines for large data volumes.
• Develop and maintain documentation for ML infrastructure and support processes.
• Stay updated on GenAI, NLP, ML, and IR technologies.

Skills

Python

NLP

ML pipelines

Cloud computing

LLMs

Education

Bachelor's or Master’s in CS/Engineering/DS

Tools

Docker

Kubernetes

Git

PyTorch

HuggingFace

LangChain

Job description

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.

Location: Barcelona, ESP

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.

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic.

We strongly encourage applications from all qualified individuals, including women, people with disabilities, and those from underrepresented groups.

Reasonable Accommodation

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Base Pay Range:-We’re committed to offering competitive and flexible compensation to attract top talent. This pay range reflects our good faith estimate for the role and may vary based on a candidate’s experience, skills, location, and other relevant factors.

For bonus-eligible roles, targets are determined based on multiple considerations, including market benchmarks and individual contributions.

For benefits-eligible roles, we offer a comprehensive and competitive benefits package covering health, retirement, wellbeing, and more, along with optional benefits to meet the diverse needs of our employees.

Business Area: Dow Jones- TechnologyJob Category: Software Product EngineeringUnion Status:Non-Union role

Dow Jones is a global provider of news and business information, delivering content to consumers and organizations around the world across multiple formats, including print, digital, mobile and live events. Dow Jones has produced unrivaled quality content for more than 130 years and today has one of the world’s largest newsgathering operations globally. It is home to leading publications and products including the flagship Wall Street Journal, America’s largest newspaper by paid circulation; Barron’s, MarketWatch, Mansion Global, Financial News, Dow Jones Risk & Compliance and Dow Jones Newswires.

Dow Jones is a division of News Corp (Nasdaq: NWS, NWSA; ASX: NWS, NWSLV).

Senior Machine Learning Engineer - Madrid, Kingdom Of Spain, ES