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.

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.

Full-cycle enterprise sales role focused on acquiring and expanding accounts in Brazil. Evangelize Replit, run demos and hackathons, manage deals and CRM (HubSpot), collaborate with product/engineering, negotiate contracts, support customer adoption, and gather feedback. Travel up to 25%.

Build and deploy production ML solutions for fraud detection, AML and claim automation. Implement data pipelines from client extracts to the data warehouse, develop/tune/test models, automate business tasks in C#, report KPIs, and engage with clients and stakeholders.

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.

The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.

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

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.

The Data Scientist will design algorithms for insights, structure data, collaborate with machine learning engineers, and analyze datasets to improve workflow automation and product value.

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.

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 AML-FT Analyst will oversee AML regulations, analyze data for suspicious activities, manage compliance documentation, and lead optimization strategies using AI tools.

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.

Provide transactional legal support for sales, services, software and procurement agreements; negotiate contract terms, manage IP/privacy/risk issues, support RFPs and public-sector deals, and advise on data protection and cloud security across Brazil and LAC.

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.

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.

Advise clients on antitrust eDiscovery compliance using machine learning and generative AI. Build and validate TAR/AI models (Epiq AI, Relativity, Reveal, Brainspace), craft LLM prompts, draft defensible protocols, train/transfer workflows to review teams, and support client-facing, pre-sales, and thought-leadership activities. Must manage multiple projects and meet deadline-driven schedules.

Drive partner sales strategy and business development for MSPs, paytechs, and fintech partners. Own partnership lifecycle: negotiate agreements, build joint FICO+AI solutions, forecast channel sales, manage pipeline, meet revenue targets, and coordinate cross-functional execution and partner events.

As an AI Operations & Automation Specialist, you will optimize finance and HR operations through automation, AI implementation, and process improvement while ensuring data integrity and supporting various teams in the company.

Lead Felix's global pricing strategy and infrastructure. Define monetization trade-offs, run advanced pricing experiments and elasticity research, partner with Finance on unit economics, and collaborate with Engineering to build automated/ML-driven pricing engines while keeping pricing transparent and user-friendly.

The Senior Product Manager will set product direction, own the development lifecycle, collaborate with teams, and ensure high-quality outputs. This role requires strong opinions on product quality and customer insights.

The Refining and Petrochemical Process Optimization Engineer will optimize manufacturing processes using AI, working with plant personnel and leading project implementations.

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.

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.

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.