Senior Machine Learning Engineer

Dow Jones; Barcelona; Presencial; EUR 55 000 - 90 000; Tempo integral

Resumo da oferta

Dow Jones is seeking a Senior Machine Learning Engineer to design, build, and maintain ML pipelines and infrastructure for both conventional and GenAI models. You will collaborate with data scientists to integrate LLMs and other models, and operationalize ML solutions in scalable, secure production systems.

You will work within the AI Engineering Team on cloud deployments, model tuning, and data processing at scale, ensuring robust, maintainable systems and strong software engineering practices.

Qualificações

• 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 programming skills in Python or similar language.
• Experience with NLP frameworks and libraries (PyTorch, HuggingFace, spaCy, NLTK, scikit-learn).
• Experience in NLP data infrastructure: storage, indexing and retrieval systems.
• Proficiency with vector storage, indexing and graph databases in cloud environments.
• Familiarity with cloud services (AWS, GCP).
• Experience with Docker and Kubernetes on cloud infrastructure.
• Git version control.
• Strong communication and collaboration skills.

Responsabilidades

• Collaborate with data scientists and engineers to integrate ML models into AI/ML pipelines from preprocessing to deployment.
• Implement optimized data storage and indexing systems for NLP use cases.
• Develop tools and frameworks for model training, tuning and evaluation.
• Partner with teams to deploy models into production on cloud infrastructure.
• Monitor and improve model performance for accuracy and efficiency.
• Provide ongoing support and troubleshoot ML model issues.
• Build and maintain data processing pipelines for large data volumes.
• Document ML infrastructure and support processes.
• Stay updated on GenAI, NLP, ML and IR trends and best practices.

Conhecimentos

Python

NLP

PyTorch

HuggingFace

LangChain

spaCy

NLTK

scikit-learn

Docker

Kubernetes

Git

AWS

GCP

Formação académica

Bachelor’s or Master’s in CS/Engineering/Data Science

Ferramentas

Docker

Kubernetes

Git

PyTorch

HuggingFace

Descrição da oferta de emprego

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.

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

We are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability, email us at [e-mail]. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates. Please refer to the privacy notice at the bottom of this page for submitting any data access, deletion, or other data subject rights requests, where permitted under your local laws and regulations.

Business Area

Dow Jones - Technology

Job Category

Software Product Engineering

Union Status

Non-Union role

Base Pay Range

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.

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). If you are a current employee in Workday, please navigate to the Jobs Hub and select Browse Jobs to apply internally.