Top Artificial Intelligence Jobs in Brazil

Design, build, and own AI-powered platforms and full-stack systems from discovery through production. Implement AI-driven features, automation, and orchestration, integrate AI into customer-facing and internal products, ensure reliability/security/auditability, support production incidents, and mentor teammates.

The Senior AI Engineer will design, develop, and deploy machine learning models for Sezzle's financial platform, focusing on personalization, fraud detection, and credit risk assessment while leading a team and optimizing ML model lifecycles.

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

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.

You will onboard new accounts, support clients with AI tools, and assist in enhancing their business through technology.

The Director of AI Solutions will lead AI service offerings, driving revenue through solution strategy and delivery alignment, while mentoring teams and engaging clients.

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.

As a Senior AI Developer, you will design, develop, and maintain software solutions, mentor engineers, and improve development practices, focusing on AI and machine learning implementations.

Lead AI inference and MLOps strategy for a 7MW AI datacenter, optimizing revenue through model selection, workload management, and marketplace integration.

Lead a team of deep learning scientists in developing and deploying computer vision solutions, aligning strategies with business priorities and fostering innovation.

The role involves full stack engineering with a focus on AI technologies, working on software projects for leading clients and participating in personal and professional development programs.

The AI Transformation Lead will drive AI delivery capabilities, transforming internal operations and client programs, while embedding AI practices and managing teams to ensure successful implementation and measurable outcomes.

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.

As an Onboarding Executive, you will facilitate the onboarding process for new clients, ensuring smooth implementation and effective communication while building AI assistants tailored to client needs.

Assist clients with AI-related technical issues, providing support, troubleshooting, and collaborating with internal teams to ensure customer satisfaction.

The IA Operations Executive aids in onboarding new client accounts, builds AI assistants, aligns client requirements, and ensures successful implementation processes.

The AI Principal Engineer will drive the AI product vision, collaborate closely with the CEO, design key features, and lead a team of AI engineers in a fast-paced startup environment.

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

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.

The Principal Data and AI Architect designs and operationalizes data and AI architectures, leads technical pre-sales efforts, develops prototypes, and guides clients in integrating AI solutions within their enterprises.

Design, build, and optimize GPU-accelerated video inference pipelines for real-time safety monitoring. Implement and tune object detection and tracking models, apply temporal smoothing and multi-camera aggregation, optimize inference (TensorRT/ONNX/CUDA), integrate with event-driven APIs and Azure services, add telemetry and fail-safes, support containerized deployments, and collaborate on dataset curation and model validation.

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