Top Artificial Intelligence Jobs in Brazil

Seeking a Data Scientist with portfolio analytics and risk modeling expertise. Responsibilities include building analytics models, processing financial data, and developing visualizations.

The role involves leading automation projects to enhance operational efficiency, designing workflows using low-code platforms and custom code, and implementing AI solutions for data processing and analysis.

Lead the implementation of Generative AI solutions, manage projects, collaborate with stakeholders, and ensure successful deployment and optimization of AI technologies.

The AI Solutions Architect leads pre-sales and consulting activities, developing tailored AI/ML solutions and guiding clients through implementation. Responsibilities include engaging clients, crafting proposals, designing AI workflows, and ensuring best practices during implementation.

The AI Engineering Leader will guide AI and machine learning project development, ensuring delivery of solutions that meet business requirements while leading a team and fostering a culture of improvement.

The AI Application Architect designs and implements AI-driven applications on Azure, focusing on full-stack development, security, and scalability, while collaborating with teams.

Lead the engineering of AI initiatives, architect stacks, prompt engineer LLMs, and mentor engineers. Work closely with cross-functional teams to deliver products from concept to production.

As a Visual AI Engineer, develop and optimize AI models for content generation, automate processes, and collaborate with teams to integrate solutions.

Create and optimize prompts for generative AI tools, collaborate with teams to enhance storytelling, and integrate latest AI trends.

Conduct AI research to advance GenAI capabilities, design algorithms, integrate findings into products, and publish research. Lead cross-functional collaborations.

The Principal AI Researcher will lead groundbreaking research in Generative AI, focusing on advanced model development, data pipeline optimization, and technical leadership for product integration.

As an Applied AI Researcher, you will develop algorithms for diverse data modalities, collaborate on innovations, and lead research dissemination in GenAI.

The role involves building AI conversational experiences for enterprise clients, collaborating with teams, and enhancing customer experience through AI solutions.

A Senior Technical Recruiter responsible for end-to-end recruiting of AI and ML roles, utilizing technical skills for sourcing and outreach globally.

The AI Software Engineer will develop a multi-agent system integrating AI agents into business teams, focusing on planning, architecture, and collaboration.

The FBS Data Analyst will build dashboards, analyze transcription data, ensure data quality, and create NLP insights while liaising between business and IT teams.

Join a fintech company as a Senior AI Engineer to design and develop an AI-driven tool for automated unit test generation across multiple programming languages, ensuring high code quality and collaboration with engineering teams.

The role involves developing ML platforms, deploying models, and collaborating with teams for technical requirements while ensuring code quality and performance.

Lead a team of data scientists, manage projects, and develop data-driven solutions to enhance company operations and customer experiences.

As an AI Software Engineer, you will develop Generative AI solutions, manage full-cycle development, implement MLOps pipelines, and ensure compliance with AI standards.

Seeking a skilled Data Scientist/Machine Learning Engineer to develop machine learning models, design AI systems, and collaborate in data analytics. Responsibilities include productionizing models, data engineering, and cross-functional collaboration.

Lead a team of designers in creating AI-powered marketing and UI/UX designs, while managing projects, providing feedback, and developing processes.

Join the AI Special Forces team to provide high-quality customer support, troubleshoot technical issues, and collaborate with teams to enhance client satisfaction with AI technologies.

Design and build AI-powered applications, create scalable AI pipelines, and integrate AI models into applications while collaborating with teams to deliver products.

The AI Prompt Engineer will design and implement AI workflows, maintain a prompt library, troubleshoot issues, and collaborate with teams to enhance efficiency and user experience.