Top Machine Learning Jobs in Brazil

Serve as a technical advisor within Expert Services to design and deliver bespoke integrations, data strategies, and custom implementations of the Braze platform. Drive complex technical projects, support onboarding and SDK/API integrations, troubleshoot strategic technical issues, document architectures, and collaborate with Sales, Product, Engineering, and Customer Success to maximize customer adoption and time-to-value.

Lead end-to-end AI deployment of OfferFit by Braze: design use cases, run technical workshops, manage technical setup and UAT, drive customer success, improve playbooks, and influence product roadmap.

Build and deploy statistical and ML models (especially demand forecasting) to improve sales forecast accuracy. Analyze data, create actionable insights, collaborate with stakeholders and regional teams, set analytics standards, monitor model performance, and deliver dashboards and visualizations for supply chain decision-making.

Design, build, validate, and productionise predictive and decisioning models (fraud, risk, onboarding, pricing, CLV). Frame business problems, run experiments and causal analyses, engineer data pipelines, monitor model performance and drift, and integrate models into product workflows while contributing to team tooling and standards.

Atuar como ponte entre a área de Gestão de Ativos e times técnicos para monitorar desempenho de modelos de IA/Advanced Analytics, definir e acompanhar KPIs, participar de revisões de performance, mapear eventos de negócio que impactem modelos, apoiar homologação de versões e promover melhorias para aumentar confiabilidade, disponibilidade e eficiência de ativos elétricos.

Partner with LATAM sales to lead technical discovery, deliver demos and POCs, design solution architectures, resolve technical blockers, and support integrations across Telnyx products (voice, messaging, wireless, networking, storage, and AI). Act as technical expert through the sales cycle and convey technical value to both technical and executive audiences.

Develop, train, evaluate, and optimize ML solutions and data pipelines; translate business requirements into production-ready ML code; perform feature engineering, model selection, and evaluation; document work, participate in code reviews, and support testing and data issue resolution.

Design and build scalable full-stack AI-driven applications and microservices on AWS/GCP. Integrate LLMs, vector databases, agentic workflows, and AI services to automate workflows, create APIs, UIs, and AI agents. Contribute across the SDLC, including deployment, monitoring, and testing.

Lead analytical projects to generate data-driven insights and implement AI-assisted solutions. Partner with clients and internal teams to map processes, identify high-impact opportunities, scope and manage analytics work, and track outcome realization. Use descriptive and predictive methods, ensure data integrity, develop reporting, evaluate customer interactions, and present recommendations to stakeholders, including executives.

Lead and execute analytic projects that identify high-impact business opportunities, map processes, implement data-driven solutions, integrate AI-assisted workflows, and measure outcomes. Collaborate with stakeholders, present insights to executives, ensure data integrity, and drive continuous process and financial improvements.

The Fraud Strategy Specialist will develop and manage fraud prevention strategies, enhance analytics, collaborate with teams, and ensure a seamless customer experience.

The Fraud Strategy Specialist will design fraud prevention strategies, develop anomaly detection systems, and collaborate with multiple teams to enhance safety while enabling customer growth.

The Senior Machine Learning Engineer will enhance Xometry's ML capabilities, develop models for cost prediction, lead technology evaluations, and collaborate on AI solutions.

Perform part-time remote data tasks to improve English AI outputs: collect, evaluate, and annotate data; conduct pairwise comparisons and counting tasks; tag and label objects across audio, video, images. Flexible, long-term freelance work based in Brazil.

The Senior Data Scientist will design and build scalable data products, develop machine learning models, and collaborate with various teams to drive impactful data solutions.

Join the Data Marketing Consulting team to execute data-driven marketing projects: deliver analytics solutions, collaborate with Activation/Creativity/Strategy, build client relationships, communicate results, research technical approaches, and contribute best practices to ensure business value for clients.

Design, build, test, and maintain RPA automations (UiPath/Blue Prism), integrate RPA with enterprise systems, document solutions, support UAT/rollout, and troubleshoot production bots within agile teams.

Lead and scale EBANX's global AML program across multiple jurisdictions. Own KYC/KYP/KYE, transaction monitoring, sanctions screening, investigations and SAR/STR reporting. Manage correspondent bank and regulator relationships, conduct enterprise AML risk assessments, and report to executive leadership and the Board. Build and coach a high-performing AML team and partner with Product, Engineering, Legal, and Risk to embed risk-based controls while applying automation and analytics to improve effectiveness and customer experience.

Lead technical direction and hands-on development of C360: design and build large-scale ETL pipelines, profile-matching/entity-resolution, ML and graph-based algorithms, scalable microservices/APIs, and AI-ready data services while mentoring engineers and shaping platform architecture.

Design and deploy a multi-agent orchestration layer for conversational AI, build production-grade Python ML services, lead end-to-end ML projects, establish team best practices, mentor engineers, and ensure secure, scalable, high-performance customer-facing AI systems.

As a Data Engineer, design and maintain data pipelines and infrastructure, collaborate with teams for efficient data delivery, and optimize data storage and retrieval processes.

Analyze large federal and state economic datasets, automate data collection and scraping, and rapidly publish clear, data-driven reporting on market-moving indicators. Collaborate with reporters and visual journalists, file public-records requests, and use emerging technologies including AI to enhance real-time coverage.

As an Analytics Engineer, you'll refine data, build models, enable self-service analytics, and collaborate with various teams to improve customer insights.

Lead end-to-end supply chain transformation engagements, advising executives and directing multidisciplinary teams to improve planning, procurement, logistics, inventory, and supplier performance. Design future-state architectures, build business cases, drive implementation, grow client relationships, and scale practice capabilities while delivering measurable operational and financial impact.

Lead end-to-end supply chain transformation engagements for commercial and utility clients. Advise executives, design future-state supply chain architectures, oversee implementation across planning, procurement, logistics, and analytics, build financial value cases, and manage multidisciplinary teams to deliver measurable operational and financial results.