ai engineer for business information

Enfint; Barcelona; Híbrido; EUR 45.000 - 60.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare plans

30 days paid holidays

Remote work option

Meal benefit €171/month

Pension contribution match

Well-being allowance

Family care support

Subscription discounts

Employee referral program

Descripción de la vacante

Dow Jones ищет специалиста по Data Science для разработки и развёртывания ML-моделей и LLM-решений, автоматизации рабочих процессов и улучшения отчетности. Вы будете применять NLP/IR к неструктурированным данным и строить масштабируемые конвейеры данных в Python/SQL в AWS/GCP.

Требуется опыт 3+ года, сильные навыки Python, знание LangChain/LlamaIndex и умение работать в кросс-функциональной команде.

Formación

• Степень бакалавра или магистра в CS, Data Science, инженерии или смежной STEM-области.
• ≥3 года опыта в data science или ML с фокусом на моделирование и пайплайны.
• Исключительные навыки Python.
• Опыт работы с scikit-learn, XGBoost, TensorFlow или PyTorch.
• Опыт с LangChain или LlamaIndex.
• Опыт проектирования и развёртывания AI-агентов.
• Опыт SQL и обработки больших наборов данных.
• Знание Git и рабочих процессов (ноутбуки/скрипты/контейнеры).
• Опыт развёртывания в AWS/GCP (S3, Glue, Lambda, Athena).
• Умение объяснять технологии не-специалистам.

Responsabilidades

• Разработка, развёртывание и поддержка ML-моделей и LLM-решений для автоматизации рабочих процессов и улучшения отчётности.
• Применение NLP и IR для извлечения структурированной информации из неструктурированного текста.
• Построение и поддержка конвейеров данных для обработки больших объёмов данных в Python, SQL и облаке.
• Анализ и очистка больших наборов данных для улучшения повторяемости моделей.
• Сотрудничество с бизнес-аналитиками, продуктом и инженерами.

Conocimientos

Python programming

Data preprocessing

Communication skills

Cloud computing

AI model deployment

Git & workflows

Experience with ML frameworks

AWS & GCP experience

Educación

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related STEM field

Herramientas

LangChain

LlamaIndex

scikit-learn

XGBoost

TensorFlow

PyTorch

Descripción del empleo

Описание

Dow Jones is a global provider of news and business information, delivering content to consumers and organizations worldwide through print, digital, mobile, and live event formats. Its portfolio includes The Wall Street Journal, Barron’s, MarketWatch, Mansion Global, Financial News, Dow Jones Risk & Compliance, and Dow Jones Newswires.

Задачи

• Own the development, deployment, and maintenance of machine learning models and LLM-based solutions that automate business workflows and enhance reporting capabilities
• Apply NLP and information retrieval techniques to extract structured information from unstructured text content
• Build and maintain robust data pipelines for high-volume data processing, enrichment, and model training using Python, SQL, and cloud services
• Analyze, clean, and preprocess large datasets to optimize reusable ML models
• Collaborate with business, product, and engineering teams
• Elicit stakeholder requirements, define business problems, and translate them into well-scoped technical solutions
• Use external APIs, including LLM APIs, for data enrichment, preprocessing, and model integration
• Deploy models and automation tools using AWS and GCP cloud services
• Document workflows, validate results, and follow best practices for model performance, versioning, and reproducibility

Требования

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related STEM field
• 3+ Years of experience in a data science or applied ML role with a strong focus on modeling and pipeline development
• Exceptional Python programming skills
• Hands-on experience with scikit-learn, XGBoost, TensorFlow, or PyTorch
• Experience with modern AI frameworks and SDKs such as LangChain or LlamaIndex
• Proven experience designing, building, and deploying AI agents to automate complex workflows
• Experience writing and optimizing complex SQL queries and handling large datasets
• Familiarity with Git and reproducible workflows such as notebooks, scripts, and containers
• Hands-on experience deploying and managing workloads in cloud infrastructure, preferably AWS with S3, Glue, Lambda, and Athena
• Proven experience securely working with APIs, including LLM APIs and external data sources
• Strong problem-solving skills and attention to detail
• Exceptional communication skills and the ability to explain technical methodologies and results to non-technical audiences and cross-functional teams
• Nice to have: Experience operating in both AWS and GCP environments, advanced NLP applied to real-world business challenges, managing agile ML lifecycles from data exploration to production deployment

Условия

• Comprehensive healthcare plans for employees and families
• 30 Days of paid holidays per year
• Remote work for 3 months per year or one week of remote work per quarter
• Meal benefit of €171/month on top of salary
• Dow Jones pays 2% of pensionable salary and matches employee contributions up to 3%
• Well-being allowance of 200 USD per quarter, ClassPass, and other resources
• Family care benefits and caregiving support
• Subscription discounts
• Employee referral program
• Base pay range: €45,000 - €60,000