
Cientista de Dados
Posted 6 days ago

Posted 6 days ago
This is a fully remote position, open to applicants in Brazil.
• Develop data engineering services and solutions applied to Artificial Intelligence.
• Design, build, and maintain data pipelines aimed at AI and Machine Learning applications.
• Create and implement AI Agents for the automation and optimization of processes.
• Participate in the development and evolution of solutions based on Large Language Models (LLMs).
• Operate models in production using MLOps and LLMOps practices.
• Collaborate with multidisciplinary teams to transform business requirements into scalable solutions.
• Ensure the quality, monitoring, and efficiency of solutions implemented in corporate environments.
• Experience with Large Language Models (LLMs).
• Background in developing AI Agents.
• Solid knowledge of Machine Learning and Deep Learning.
• Experience in Data Engineering applied to AI.
• Familiarity with MLOps and LLMOps practices.
• Experience with Natural Language Processing (NLP).
• Exposure to technologies such as Databricks, Azure AI, OpenAI, or related platforms.
• Experience in implementing and industrializing AI solutions in a corporate environment.
• Advantage: experience in the financial sector.
• Advantage: involvement in end-to-end AI projects, from conception to production deployment.
• Advantage: knowledge in governance, observability, and security for AI solutions.
• Advantage: experience with multi-agent architectures.
• Advantage: experience with AI-based process automation.
• Problem-solving skills.
• Ability to work independently and manage one's time effectively.
• Multi-benefit card – you choose how and where to use it.
• Scholarships for undergraduate, postgraduate, MBA, and language courses.
• Certification incentive programs.
• Flexible working hours.
• Competitive salaries.
• Annual performance evaluation with a structured career plan.
• Possibility of international career opportunities.
• Wellhub and TotalPass.
• Private pension plan.
• Childcare assistance.
• Medical assistance.
• Dental assistance.
• Life insurance.
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