Top Artificial Intelligence Jobs in Brazil

The AI Ops Business Analyst will identify and implement automation opportunities to enhance efficiency in AI operations, collaborating with engineering and IT teams.

The role focuses on selling Agentic technology solutions, engaging with IT stakeholders, and driving customer engagement in enterprise accounts.

The Marketing Consultant II role involves managing B2B marketing initiatives, developing consumer content, leading cross-functional teams, and optimizing marketing strategies using data insights.

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

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.

Join Artefact's Data & Consulting team to innovate and enhance data strategies through advanced analytics, collaborating with diverse teams to deliver solutions.

Own and drive the identity product strategy and roadmap for onboarding, verification, authentication, and account recovery. Collaborate with engineering, design, fraud, and compliance to build secure, scalable identity systems, design data schemas, define KPIs, and explore AI/ML solutions to improve verification and user experience.

The Software Engineer will design and implement search architecture to enhance data discoverability, handle significant feature ownership, perform code reviews, and mentor junior members in a Kubernetes environment.

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

The Customer Success Architect at Forcepoint manages customer relationships, drives adoption of cybersecurity solutions, and provides technical guidance to ensure customer success.

This role involves designing scalable backend systems for AI, developing ML pipelines, and optimizing video data processing for a technology platform rebuild.

As an Applied AI Engineer, deliver AI and automation solutions from requirements to deployment, collaborating with stakeholders, designing workflows, and improving deployed systems.

The AI Engineer will design and deliver production-grade LLM systems, optimize ML solutions, and mentor team members while handling client engagements and technical decisions.

The AI Engineer will develop, deploy, and optimize AI solutions using Google's Gemini, working with machine learning models and data pipelines in a client-focused environment.

The Software Engineer, AI will evaluate, compare, and refactor AI-generated code while providing detailed explanations for decisions. They will engage in asynchronous work to enhance large-language model training.

The AI Product Manager will own and scale the Agentic Development product, expand capabilities, drive adoption, and reduce development lead times through cross-functional collaboration and communication.

The Lead Software Engineer will build automated frameworks, develop validation strategies, collaborate with R&D, and ensure software quality for AI-driven systems.

Lead product analytics for subscription and web funnels: define KPIs, build/maintain dashboards and SQL data models, own event taxonomy and tracking, run funnel/cohort/retention analyses, mentor analysts, monitor anomalies, and partner with Product, Marketing, and Data teams to drive conversion, retention, and LTV.

The role involves owning and improving the technology infrastructure at Darkroom, focusing on Notion systems, automations, AI workflow optimization, and technology advisory. Responsibilities include database maintenance, workflow design across tools, and enhancing operational efficiency through experimentation with AI.

The Client Engagement Data Analyst - AI will manage data signals for AI insights, develop data structures, and ensure effective reporting, while empowering teams in AI adoption.

The role involves capturing high-quality video of everyday household tasks to help train AI systems, adhering to strict guidelines and quality standards.

Design and prototype AI-assisted product solutions and user flows for monetization in the gaming industry. Validate ideas through user testing and analytics while collaborating with product and engineering teams.

Interns will develop and customize solutions on Salesforce, support API integrations, participate in agile projects, and learn AI applications in development.

The Jr. AI Automation Engineer will design, build, and maintain automated workflows for various business processes, utilizing AI tools and Python.

Lead the design and development of AI-centric software for cybersecurity, mentoring junior engineers and promoting best practices in a collaborative environment.