
Cientista de Dados
Posted Aug 4

Posted Aug 4
This is a fully remote position, open to applicants in Brazil.
• Develop Artificial Intelligence solutions tailored to the tax context.
• Create applications utilizing Large Language Models (LLMs), Generative AI, and Machine Learning techniques.
• Build Retrieval-Augmented Generation (RAG) pipelines using legislation, technical documents, and tax databases.
• Construct intelligent agents to automate tax analyses and support business processes.
• Explore large volumes of tax data, identifying patterns, inconsistencies, and tax opportunities.
• Collaborate with tax specialists to transform technical knowledge into AI-based solutions.
• Develop experiments, validate hypotheses, and monitor performance metrics of implemented solutions.
• Assess the quality, accuracy, and reliability of AI models and applications.
• Contribute to the evolution of ROIT's products by proposing new AI applications in the tax domain.
• Partner with Data Engineering to operationalize and scale solutions in production.
• Experience in Data Science, Artificial Intelligence, or Machine Learning applied to business problems.
• Proficiency in Python.
• Strong knowledge of SQL.
• Understanding of statistics and exploratory data analysis.
• Experience in developing and evaluating AI or Machine Learning models.
• Familiarity with Large Language Models (LLMs) and Generative AI.
• Analytical ability to transform complex problems into data-driven solutions.
• Preferred: experience with Generative AI applied to products.
• Preferred: experience with RAG.
• Preferred: development of agents based on LLMs.
• Preferred: experience with Prompt Engineering.
• Preferred: knowledge in model evaluation (LLM Evaluation).
• Preferred: experience with Vertex AI, Gemini, OpenAI, Anthropic, or open-source models.
• Preferred: experience with BigQuery and PySpark.
• Preferred: experience with Google Cloud Platform (GCP).
• Preferred: knowledge of electronic tax documents (NF-e, CT-e, NFS-e, MDF-e), SPED Fiscal, SPED Contributions, ECD, ECF, or tax legislation.
• Competitive salary and performance-based bonuses.
• Flexible working hours and remote work options.
• Opportunities for professional development and continuous learning.
• Collaborative and innovative work environment.
• Health and wellness benefits.
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