Top Machine Learning Jobs in Brazil

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.

Design and operationalize fraud visibility, anomaly detection, and KPIs. Partner with Data Science, Product, and Operations to refine fraud strategy, migrate decisioning to orchestration, and lead cross-functional initiatives to balance prevention and customer experience.

Lead fraud strategy by building fraud visibility and anomaly detection, defining KPIs and dashboards, partnering with Data Science to improve ML models, and driving cross-functional initiatives to balance fraud prevention and customer experience.

Design and deploy fraud visibility and real-time anomaly detection, define KPIs and dashboards, partner with Data Science and Product, manage fraud strategy and decisioning, and lead cross-functional initiatives balancing prevention and customer experience.

Participants are needed for an AI technology research study, offering compensation up to $600 for ~1.5-2 hours of participation over one week, requiring skills in tech-related roles.

Projetar, desenvolver e evoluir agentes conversacionais (IA/GenAI); criar soluções multicanal (voz, chat, WhatsApp, app); definir lógica e experiência de interação; implementar integrações seguindo boas práticas de engenharia; atuar em squads colaborativos com pair programming.

Create and review realistic, locale-specific robotics and natural sciences tasks in Brazilian Portuguese; apply scoring rubrics; evaluate and score AI and human responses for accuracy and regulatory alignment; produce gold-standard solutions and expert feedback.

The Machine Learning Engineer II will design, deploy, and maintain machine learning models, analyze data, and collaborate with teams to integrate solutions into production while ensuring performance and reliability.

Lead end-to-end delivery of Google Cloud adoption engagements. Coordinate cross-functional teams and executive stakeholders, scope and plan projects, mitigate risks, track adoption and utilization, integrate change management, mentor teams, and drive successful enterprise cloud migrations and modernization.

Lead LATAM partner ecosystem strategy and execution across GSIs, OEMs, acquirers, payment processors, hyperscalers, and ISVs. Drive partner-sourced and partner-influenced revenue, joint GTM plans, partner recruitment/onboarding, enablement, and performance governance using BI and PRM tools. Collaborate with sales, marketing, product, and customer success to scale Feedzai's footprint in LATAM.

As the Head of Credit for Brazil, you will develop credit policies, lead analytics teams, build risk models, and collaborate across teams to drive growth and ensure quality in credit offerings.

Lead horizon scanning and external intelligence to identify AI and disruptive tech opportunities for R&D. Translate trends into actionable briefs, design and run pilots with stage-gates, and scale successful capabilities into production. Influence senior leadership with strategic foresight, build external partnerships, and embed a future-back innovation culture across cross-functional teams to measurably improve R&D outcomes.

Design, develop, validate, and monitor end-to-end credit risk models and scorecards across the credit lifecycle. Partner with cross-functional teams to translate business problems into analytical solutions, evaluate new data and features, run stress tests and scenario analyses, ensure model interpretability and regulatory compliance, and maintain production model performance and documentation.

The role involves building a scalable ML infrastructure, developing production pipelines, and optimizing model serving for computer vision applications.

The Research Engineer will design and build evaluation systems to measure data quality for Firecrawl's web data extraction, creating metrics and benchmarks, and collaborating on model improvements.

As Director of AI/ML, lead AI teams, manage AI projects, ensure scalable solutions, and coordinate across multiple departments to deliver impactful AI solutions.

Lead and execute the AI automation strategy, redesign processes for automation, build AI systems, and mentor a high-performing AI team, facilitating cross-functional adoption.

Develop and deploy chatbots using Google Dialogflow and integrate various AI technologies. Collaborate with teams to meet user requirements and optimize chatbot performance.

Lead product operations strategy and execution for Customer Support across assigned segments. Define 18+ month strategy, ensure operational readiness for launches, drive CX transformation using AI and analytics, lead Outer Loop feedback improvements, deliver large cross-functional initiatives, manage and mentor a team of ~10, and establish governance and execution frameworks to improve operational KPIs.

Senior technical leader providing high-level AI strategy, architecture direction, and long-term systems design. Delivers strategic artifacts (architecture reviews, AI integration strategies, roadmaps), advises executives, collaborates with product and engineering teams, and mentors technical leaders to improve scalability, resilience, and governance across platforms.

As a Data Scientist at Zicasso, you will analyze complex datasets, develop predictive models, and optimize customer experiences using AI and machine learning techniques, while collaborating with cross-functional teams.

The sales executive is responsible for selling Pavilion8 software and related solutions, developing sales strategies, managing relationships, and achieving sales targets in a specified region.

The Research Engineer will build training infrastructure and reward pipelines, fine-tune models, bridge RL with LLMs, run fast experiments, communicate findings, and collaborate with the research team at Firecrawl.

Design, build, and deploy end-to-end data science solutions for pricing, underwriting, claims, and operations. Perform analyses on structured and unstructured data, develop and monitor ML models, create dashboards and visualizations, implement data pipelines, and collaborate cross-functionally to prioritize analytics initiatives and communicate results to technical and non-technical stakeholders.

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