Ai Solutions Specialist

Dow Jones & Co.; Barcelona; Híbrido; EUR 45.000 - 60.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare

Remote work option

Meal benefit

Retirement plan

Wellbeing resources

Family care benefits

Referral program

Descripción de la vacante

Dow Jones - Data & AI in Barcelona is seeking an AI Solutions Specialist to design, deploy, and maintain AI-powered workflows across risk and research teams. You will build ML models, integrate NLP pipelines, and enrich data with external APIs.

The role demands strong Python skills, experience with ML libraries, cloud platforms, and the ability to communicate complex results to non-technical stakeholders. A quantitative degree and 3+ years of experience are required.

Formación

• Essential Experience: Bachelor’s or Master’s degree in a quantitative field and 3+ years in data science or applied ML.
• Technical Proficiency: Python and ML libraries; experience with LangChain/LlamaIndex; building ML agents and deploying models.
• Cloud & API Expertise: AWS/GCP experience; secure API integrations and data enrichment.

Responsabilidades

• Solution Design & Development: develop, deploy, and maintain ML models and LLM-based solutions to automate workflows.
• Data Engineering & Pipeline Management: build data pipelines for high-volume processing, enrichment, and model training using Python/SQL and cloud services.
• Stakeholder & Portfolio Management: collaborate with business, product, and engineering teams; elicit requirements and translate into technical solutions.
• Cloud & AI Integration: leverage external APIs and deploy models using cloud services (AWS/GCP).
• Best Practices & Quality Assurance: document workflows, validate results, ensure reproducibility and versioning.

Conocimientos

Python

ML libraries

LangChain

LlamaIndex

SQL

Git

Cloud (AWS/GCP)

APIs

Educación

Bachelor’s or Master’s degree in a quantitative field

Herramientas

AWS

GCP

S3

Lambda

Glue

Athena

TensorFlow

PyTorch

scikit-learn

XGBoost

Keras

Docker

Descripción del empleo

Title

AI Solutions Specialist

Location

Spain - Barcelona

Job Description

Dow Jones is seeking an AI Solutions Specialist to join our Automation & Reporting team. You will design, construct, integrate and maintain AI Solutions into the existing and new workflows to optimize processes across our B2B Risk and Research teams. As a key team member, you will be involved in every aspect of the data science project development process, from data analysis and model selection to building proofs of concept and refining pipelines. You will leverage your expertise in statistical analysis and machine learning techniques to derive insights from data, address the organization's needs, and deliver tangible value through actionable outcomes.

Key Responsibilities

• Solution Design & Development: 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.
• Data Engineering & Pipeline Management: Build and maintain robust data pipelines that support high-volume data processing, enrichment, and model training utilizing Python, SQL, and cloud services. Analyze, clean, and preprocess large datasets to optimize reusable ML models.
• Stakeholder & Portfolio Management: Collaborate cross-functionally with business, product, and engineering teams. Elicit requirements from stakeholders, define business problems, and translate them into well-scoped, technical solutions.
• Cloud & AI Integration: Leverage external APIs (including LLM APIs) for advanced data enrichment, preprocessing, or model integration. Deploy models and automation tools seamlessly using cloud-based services (AWS and GCP).
• Best Practices & Quality Assurance: Ensure high standards across solution design and development. Document workflows, validate results, and strictly follow industry best practices for model performance, versioning, and reproducibility.

Qualifications

Essential Experience: Bachelor’s or Master’s degree in a quantitative field (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 dual focus on both modeling and pipeline development.

Technical Proficiency: Exceptional programming skills in Python and hands-on experience with standard machine learning libraries (e.g., scikit-learn, XGBoost, TensorFlow, or PyTorch), alongside 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 version control (Git) and reproducible workflows (e.g., notebooks, scripts, containers).

Cloud & API Expertise: Hands-on experience deploying and managing workloads within cloud infrastructure (preferably AWS, including tools like S3, Glue, Lambda, and Athena). Proven experience securely working with APIs, including integrating LLM APIs or external data sources.

Delivery & Communication: Strong problem-solving skills and strict attention to detail. Exceptional communication skills, with a demonstrated ability to translate technical methodologies and results clearly to non-technical audiences and cross-functional teams.

Preferred Skills

Experience operating within both AWS and GCP environments. Proven track record of applying advanced NLP methodologies to real-world business challenges. Familiarity with managing agile ML lifecycles from initial data exploration to production deployment.

Benefits

• Comprehensive Healthcare Plans for you and your family
• Extra paid Time Off (30 days of holidays/year)
• Possibility to work remotely for 3 months/year (desplazamiento program) or one week of remote work per quarter
• Meal benefit with Pluxee (171/month on top of your salary)
• Retirement Plans (Dow Jones will pay 2% of a members Pensionable Salary and match employee contribution up to a maximum of 3 %).
• Well-being Resources (200 USD allowance per quarter, Classpass, etc.)
• Family Care Benefits & Caregiving Support
• Subscription Discounts
• Employee Referral Program

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 . 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 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

Area

Dow Jones - Data & AI

Job Category

Data Analytics/Warehousing & Business Intelligence

Union Status

Non-Union role

Base Pay Range

45,000 - 60,000

Summary

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.

Type

Full time