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Artefact

Data and AI-driven business transformation consulting

Forward Deployed Engineer Intern

AI Application EngineeringUpdated on Nov 10
InternshipSão Paulo, State of São Paulo, BrazilNo salary listed

About the Job

Requirements

  • Currently pursuing an undergraduate degree in computer science, statistics, engineering, economics, or a related area.
  • Have at least one year of the undergraduate internship period remaining; the stated graduation date is after July 2025.
  • Demonstrate curiosity and seek innovative solutions for clients across areas such as front-end, back-end, big data infrastructure, and machine learning models.
  • Share knowledge and actively disseminate information within the company.
  • Bring solutions, ideas, and innovations.

Responsibilities

  • Work with consultants, data scientists, and engineers to identify client needs and define innovative solutions.
  • Participate in end-to-end solution design and implementation, with support from senior engineers, and optimize performance and scalability.
  • Contribute across the project value chain, including infrastructure and platform creation, data collection, application of machine learning models, REST API creation, front ends, testing, and continuous deployment.
  • Explain technical terms and solutions to business-oriented audiences.
  • Prioritize tasks, meet deadlines, and raise risks or problems.

About the Company

Artefact

Data and AI-driven business transformation consulting

Artefact helps organizations use data and AI to transform their operations and decision-making. It provides end-to-end services across the data value chain, from strategy and data platform implementation to governance, advanced analytics, and sector-specific AI tools, delivered through consulting and project execution. The company works with industries like FMCG, retail, and luxury goods to optimize marketing performance, customer engagement, and ROI. Artefact differentiates itself by combining consulting expertise with data science and AI capabilities across multiple regions, offering integrated, sector-focused solutions rather than just advisory services. The main goal is to help clients adopt data-driven approaches to improve efficiency, decision quality, and marketing results at scale.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Paris, France
Founded
1998

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