Top Machine Learning Jobs in Sao Paulo

Lead the full product lifecycle by owning roadmaps, translating business priorities into executable plans, defining features with engineering and UX/UI teams, and driving timely delivery. Conduct user research, establish product metrics, lead client demos, support go-to-market positioning, and align product development with broader innovation goals. Manage cross-functional teams, including ML engineers, while iterating products based on user feedback.

The Senior Data Developer extends and maintains existing code repositories, builds ETL/ELT pipelines, integrates enterprise data from BigQuery and SAP, and designs database structures. Depending on expertise, the role also supports front-end and backend application development, scheduled jobs, and machine learning for computer vision and forecasting. The developer follows Git best practices, communicates clearly, and collaborates with distributed cross-functional teams across supply chain, manufacturing, logistics, and procurement initiatives.

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.

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.

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.

Conduct exploratory analysis, statistical modeling, experimentation, forecasting, and machine learning for marketplace and pricing systems. Analyze supply, demand, elasticity, conversion, and pricing behavior; build predictive models; improve data quality and analytical foundations; contribute to production ML; and communicate actionable recommendations to Product, Engineering, Pricing, and business stakeholders.

Leads consultative discovery, technical qualification, solution design, executive engagement, sales campaigns, and customer presentations for AspenTech solutions across Metals & Mining, LNG, Specialty Chemicals, and Polymer industries in LATAM. Translates industry challenges into measurable business value, develops industry-specific messaging, supports sales teams, informs product management, and trains account managers and solution consultants. Requires extensive industry software-selling experience and travel up to 35%.

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.

Supports the Solutions Engineering team by creating SQL demonstrations, exploratory analyses, queries, reports, visualizations, prototypes, and proof-of-concepts using public and customer datasets. Assists with environment setup, task automation, cloud infrastructure, and technical community initiatives such as events, webinars, training, and content creation. Collaborates with technical leadership while gaining practical experience in data science and analytics.

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.

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%.

Lead Agile project delivery for cloud and software initiatives: manage budgets, timelines, scope, risks, and client communications; facilitate scrum ceremonies; remove blockers; track team velocity and health; report project status to managers and clients; drive continuous improvement.

Leads data science strategy across Mexico and Brazil, manages and mentors a distributed team, and remains hands-on building and deploying machine learning models. Establishes modeling standards, infrastructure, delivery practices, and technical roadmaps while partnering with credit leadership on underwriting, valuation, impact measurement, and P&L analysis. Requires strong applied machine learning expertise, prior data science leadership, business communication skills, and understanding of credit or underwriting.

Leads enterprise sales strategy and revenue growth for AI-powered eDiscovery, legal technology, compliance, analytics, and data intelligence solutions. Builds pipelines, manages complex consultative sales cycles, develops executive client relationships, expands strategic accounts, and positions responsible AI adoption. Partners with product, operations, legal, security, marketing, and executive teams on solution development, pricing, contracts, implementation, and market expansion across corporations, law firms, government, and regulated industries.

Lead high-complexity data science initiatives improving search ranking, retrieval, relevance, and evaluation. Develop and deploy production machine-learning and NLP solutions, investigate LLM-based ranking features, optimize SQL queries, and work with sparse privacy-preserving data. Define strategies for ambiguous problems, guide other data scientists, collaborate with product teams, and own projects from scoping through production.

Leads enterprise sales strategy and revenue growth for Epiq’s AI-powered eDiscovery, legal technology, compliance, analytics, and information governance solutions. Develops pipelines, manages complex consultative sales cycles, expands strategic accounts, and engages executive stakeholders across corporations, law firms, government, and regulated industries. Acts as an AI and legal technology subject matter expert, supports responsible AI adoption, partners cross-functionally on solution development and delivery, and represents Epiq through market development, thought leadership, and strategic partnerships.

Join an agile team building HealthTech applications: design and implement scalable microservices, integrate ML and third-party systems, conduct code reviews, author technical documentation, debug and optimize systems, and own services over time while maintaining high code quality and delivery standards.

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.

Support the full data workflow: ingest and structure data, perform cleaning and validation, run exploratory analysis and visualizations, assist with ML/DL experiments and model evaluation, and contribute to predictive maintenance and ERCOT market analytics projects.

Lead full-cycle technical recruiting for Data/ML, Platform, and Engineering; build predictable pipelines, design structured interview processes and scorecards, run high-signal screening, partner with senior leadership, and improve recruiting workflows to hire and retain high-performing talent.

Lead and execute technology audits across cybersecurity, cloud, IAM, SDLC, data/privacy, operational resilience, and AI governance. Plan fieldwork, test ITGCs and application controls against frameworks, document findings, manage remediation, and coordinate with stakeholders and co-sourced teams to improve control environments.

Develop and scale backend services, APIs, and front-end interfaces to integrate LLMs and ML into banking products. Implement Encompass and mortgage LOS integrations, ensure API security, deploy on cloud (Azure/AWS), and optimize performance, scalability, and maintainability.

Build and scale bank-grade AI products that integrate LLMs and ML into banking services. Design and implement backend services, APIs, and performant web frontends (React/Next.js). Ensure security (OAuth2, JWT), scalability, load balancing, and cloud deployment (Azure/AWS). Collaborate with product, design, and ML teams, participate in system design, and apply infrastructure-as-code and Kubernetes/Terraform practices.

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.