Top Artificial Intelligence Jobs in Brazil

The Senior Product Analyst will analyze and improve payment infrastructure in Brazil, collaborate with teams, set KPIs, and leverage data-driven insights for product development.

Oversee planning and execution of software solutions for financial planning, managing teams and collaborating on projects to improve processes and efficiency.

The Senior Field Data Scientist will collaborate with customers to implement ML solutions, improve architectures, and ensure customer success through technical expertise and guidance.

As a Data Consultant, you'll help clients use advanced analytics and AI to innovate strategies and drive business decisions through data insights.

As a QA Annotator, you will review data and tasks to ensure quality, label content, and identify inaccuracies in AI-generated material.

The AI Engineer will develop and optimize an AI-powered data service, managing the lifecycle of models and collaborating with software engineering teams for integration.

As a QA Annotator, you'll review data, ensure quality control, label content, and identify inaccuracies for AI projects.

As a QA Annotator, you will review and classify AI-generated content, ensuring quality assurance and providing feedback on accuracy and clarity.

As a QA Annotator, you will review and ensure the quality of AI-generated content, providing feedback and labeling materials based on guidelines.

The Systems Engineer - Geotechnical will develop advanced software for foundation analysis and design, leveraging geotechnical knowledge and programming skills to optimize engineering applications.

The Senior Product Manager will lead the development of data-driven products, leverage AI, and ensure alignment with business strategies while enhancing customer experience and guiding product teams.

The Senior Solutions Consultant will collaborate with the sales team to identify client needs, deliver product demos, and manage RFP proposals for Feedzai's RiskOps platform.

As an AI Ops Business Analyst, you will automate processes, map operations, define requirements for automation tools, and collaborate with teams to improve efficiency in AI delivery.

This role involves building and optimizing LLMs and AI systems for public safety, focusing on real-time application and collaboration with various teams.

Lead the engineering execution of Assist Agents, focusing on architecture, scalability, and integration for real-time AI interactions. Mentor engineers, manage technical direction, and ensure long-term success of the product.

Provide technical solutions and consulting for Apache Spark/Machine Learning issues, assisting customers in utilizing Databricks for analytics and AI tasks while performing troubleshooting and performance tuning.

As an AI Moderator, you will correct floor plans from AI recognition, place interior items, monitor AI work, and conduct research on statistics.

The Operations Hub Leader drives business strategy, supports performance management, fosters talent development, and ensures effective recruitment and integration of new hires.

Lead cross-functional teams through project lifecycles, managing client expectations and ensuring successful project delivery while leveraging technical and engagement skills.

The Gen AI Adoption Lead will drive the integration of Generative AI to enhance software development efficiency, mentor teams, and lead strategic implementations within the SDLC.

The AI Specialist, Customer Success drives AI adoption and customer engagement, ensuring customers achieve business outcomes with Zendesk's AI solutions through proactive management and collaboration.

The Operations/Product Director will optimize workflows, automate processes, and leverage technical solutions to enhance property management efficiency across the business.

As a Staff Technical Solutions Engineer, you will resolve customer issues related to Apache Spark, provide guidance on best practices, and assist customers in optimizing their use of Databricks products.

Design, build and scale AI and data infrastructure, focusing on cloud-native MLOps pipelines and collaboration with cross-functional teams to enhance AI model performance.

As a Backend AI Engineer, you will design and implement AI features, manage AI initiatives, and collaborate across teams to leverage AI for payment solutions.