Top Artificial Intelligence Jobs in Brazil

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

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.

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

The role involves improving customer experience through journey mapping, feedback management, and collaboration across departments, focusing on B2B services.

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.

The role involves transforming data into actionable insights, collaborating on innovative strategies, and prioritizing project tasks within a dynamic team environment.

As a Senior Software Engineer, you will develop AI decisioning solutions, rebuild applications in React, and enhance user experience while collaborating across 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.

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

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.

Negotiate and draft contracts with LatAM clients, ensuring compliance with data and regulatory requirements while partnering with various teams to support business needs.

Lead AI-driven consulting engagements in financial services, develop strategies, mentor teams, and drive adoption of AI solutions across clients.

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

The Senior Operational Excellence Analyst will enhance operational efficiency by analyzing performance metrics, optimizing processes, and driving automation while ensuring quality standards are met across customer interactions.

The Senior Solution Architect leads design of end-to-end solutions, engages with stakeholders for requirements, assesses risks, and communicates with C-level executives. They produce cost models and contribute to contractual drafting while ensuring alignment with customer needs and company standards.

The IT Auditor Specialist is responsible for risk analysis, audit fieldwork execution, training junior auditors, and enhancing IT skills within the team.

Manage key accounts in the financial services sector, driving growth by identifying business opportunities, enhancing customer relationships, and collaborating across teams for successful solution delivery.

The Talent Acquisition Specialist leads recruitment efforts, builds talent pipelines, enhances candidate experience, and partners with hiring managers to optimize hiring strategies.

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.

The Senior Business Analyst will facilitate requirement gathering, document business needs into clear requirements, support pre-sales, and contribute to project delivery.

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

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.