AI Analyst, Mid-level

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🕒 March 27

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Dadoteca

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

🏢 Enterprise

🤖 Artificial Intelligence

B2B • Enterprise • Artificial Intelligence

Dadoteca is a Brazilian data consultancy that transforms data into actionable knowledge through Business Intelligence, Advanced Analytics, Artificial Intelligence, automation, and data architecture & governance. As a Microsoft Gold Partner for Data Analytics and a Databricks Consulting Partner, Dadoteca delivers consulting and outsourcing services using Power BI, Azure, SQL Server and Python for clients across sectors (energy, retail/shopping centers, healthcare) in Brazil and internationally. The company focuses on tailored implementations, dashboards, ETL pipelines, automation and AI-driven solutions to improve strategic decision-making and operational performance.

📋 Description

• Design, develop, and evolve Artificial Intelligence solutions, including generative AI, machine learning, and advanced analytics • Develop applications using LLMs for process automation, data analysis, and content generation • Create and maintain APIs and backend services for integration with corporate systems • Support the structuring of data pipelines and organization of data layers • Integrate AI solutions with databases and the organization's internal systems • Contribute to defining architecture, scalability, and best practices in AI projects • Ensure governance, security, and responsible use of Artificial Intelligence solutions • Collaborate with product, engineering, and data teams to deliver high-impact solutions • Support deployment, monitoring, and iteration of models in production environments

🎯 Requirements

• Experience with Artificial Intelligence, Machine Learning, Data Science, or generative AI • Knowledge of LLMs and the use of generative model APIs • Experience with backend development using Python, Node.js, or similar technologies • Experience creating APIs and system integrations • Knowledge of relational databases and/or NoSQL • Familiarity with data architecture, data pipelines, and cloud environments

🏖️ Benefits

• Job opportunities • Collaborative work environment • Professional development • Innovation