Top Artificial Intelligence Jobs in Brazil

As an intern, you'll gain hands-on experience in digital verification and simulation, assist engineers, and explore AI's impact on electronic design workflows.

The AI Senior Product Manager at dLocal will define the product vision for AI tools, collaborate with engineering teams, and measure product success to drive AI adoption across the company.

Develop and maintain web interfaces, validate AI-generated code, and provide feedback on UI/UX. Collaborate with project coordinators for task delivery.

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.

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

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.

Lead product development for SEO software, manage product roadmaps, and collaborate with teams to deliver high-quality features in an agile environment.

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

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

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.

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

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

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 Lead designs and implements AI solutions for clients, driving client relationships, monitoring success metrics, and collaborating with product teams to enhance customer journeys.

Design and develop AI models and algorithms, collaborate with teams, analyze data, and deploy solutions to optimize business processes.

Lead the strategic assessment and definition for an AI product line, focusing on architecture, integration, and market strategy for a conversational AI solution.

As a No-Code Automation Specialist, you will design, implement, and monitor production-grade automations using tools like GoHighLevel and Zapier, ensuring data hygiene and providing clear documentation.

Design, implement, and maintain scalable data pipelines while collaborating with cross-functional teams to enhance data quality and support decision-making.

Develop and maintain web interfaces, validate AI-generated code, provide UI/UX feedback, and follow project guidelines in a remote setting.

The Research Engineer will develop the DeOS framework, optimizing AI workloads, managing GPU resources, ensuring scalability, and contributing to open-source projects.

As a Data Analyst, you will analyze data, build machine learning models, create dashboards, and collaborate with teams to enhance decision-making.

Develop AI-driven solutions for Electronic Health Records (EHR) by refining prompt engineering and improving NLP applications for better healthcare workflows.

Design and train AI models for video-related tasks, optimize performance, and collaborate with teams to integrate AI features in a video platform.