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Machine Learning Engineer

Machine Learning Engineer

AI Growth Automation Engineer - São Paulo (Hybrid)

Clara

Sao Paulo

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Описание вакансии

Ready to accelerate your career?
Clara is the fastest-growing company in Latin America. We've built the leading solution for companies to make and manage all their payments. We already help over 20,000 large and growing businesses operate with agility and financial clarity through locally issued corporate cards, bill pay, financing, and a powerful B2B platform built for scale.

Clara is backed by some of the most successful investors in the world, including top regional VCs like monashees, Kaszek, and Canary, and leading global funds like Notable Capital, Coatue, DST Global Partners, ICONIQ Growth, General Catalyst, Citi Ventures, SV Angel, Citius, Endeavor Catalyst, and Goldman Sachs - in addition to dozens of angel investors and local family offices.

We're building the financial infrastructure that powers high-performing organizations across the region. We invite you to join us if you want to be part of a fast-paced environment that will accelerate your career and support you to do some of the best work of your life alongside a passionate and committed team distributed across the Americas.

What you'll do
We're looking for someone who gets a kick out of turning "someone should really automate this" into a working tool by next week. You'll sit at the intersection of Lifecycle, Sales, and AI — building the agents, workflows, and internal products that let Clara prospect, sell, and onboard faster and smarter than a headcount-only approach ever could. This isn't a "use AI to write better emails" role. It's a build role. You'll ship things: SDR co-pilots, outbound agents, lifecycle automations, onboarding flows — and you'll own whether they actually move pipeline and activation, not just whether they're clever.

You will:

  • Build AI-powered prospecting & SDR tooling: design and ship agents/workflows that find, qualify, and engage prospects, and that get meetings on AEs' calendars — using tools like Amplemarket, Clay, HubSpot, and LLM APIs, glued together with n8n or custom code.
  • Own lifecycle automation end to end: build and iterate on onboarding, activation, and retention flows across email, WhatsApp, and push, using Customer.io and our internal data stack, with AI doing the heavy lifting on personalization, timing, and content generation.
  • Design the SDR-to-AE handoff as a system, not a manual process: instrument lead scoring, routing, and handoff logic so reps spend time on conversations, not admin.
  • Prototype fast, validate faster: you're expected to go from idea to working internal tool in days, test it against real pipeline/activation metrics, kill what doesn't work, and scale what does.
  • Partner cross-functionally: work directly with Sales, SDR leadership, Lifecycle, and Data/Eng to identify where automation unlocks the most value, and to make sure what you build actually gets adopted.
  • Turn data into iteration: use Metabase, HubSpot, and Customer.io data to measure what your builds are actually doing to CAC payback, meetings booked, activation rate, and pipeline generated — and report on it in plain, honest terms.

Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. The preferred qualifications are a bonus, not a requirement.

Must haves

  • +2 years of hands-on experience building automation, internal tools, or AI-powered products — not just using AI tools, but shipping things that use APIs, LLMs, or agent frameworks to do real work.
  • Experience with workflow/automation platforms (n8n, Zapier, Make, or equivalent) and comfort integrating APIs across systems (CRM, marketing automation, sales tooling).
  • Working familiarity with CRM/lifecycle platforms such as HubSpot, Customer.io, or Salesforce.
  • Enough technical fluency to read/write basic scripts (Python, JavaScript) or work closely with engineers to get something shipped — you don't need to be a software engineer, but you can't be blocked waiting for one.
  • Strong written and verbal communication in English; ability to explain what you built and why it matters to non-technical stakeholders and executives.
  • A bias toward building and testing over planning — you'd rather ship a rough version this week than a perfect spec next month.

Nice to haves

  • Background in Lifecycle Marketing, RevOps, Sales Engineering, Product, or Software Engineering (any of these paths is fine — we care about what you've built, not your job title history).
  • Direct experience with sales engagement/AI prospecting tools (Amplemarket, Clay, Apollo, or similar).
  • Experience working with LLM APIs (OpenAI, Anthropic) and basic prompt engineering.
  • Experience in B2B SaaS or fintech, ideally with an SDR/AE motion.
  • Startup or small-team experience where you owned something end to end, from idea to production.
  • Portuguese proficiency (not required, but useful across our MX/BR/CO/AR footprint).

Why join Clara
At Clara, you'll have the autonomy, speed, and support to make meaningful impact — not just on your team, but on how organizations are run across Latin America.

Who we are

  • We're the leading B2B fintech for spend management in Latin America.
  • Certified as one of the world's fastest-growing companies, a Great Place to Work, and a LinkedIn Top Startup.
  • Passionate about making Latin America more prosperous and competitive.
  • Constantly innovating to build financial infrastructure that enables each of our customers to thrive.
  • Product-led, high-talent-density culture — designed for builders who raise the bar.
  • Proud of our open, inclusive, and values-driven environment.

What we believe in

  • #Clarity. We say things clearly, directly, and proactively.
  • #Simplicity. We reduce noise to focus on what really matters.
  • #Ownership. We take responsibility and never wait to be told.
  • #Pride. We build products and experiences we're proud of.
  • #Always Be Changing (ABC). We grow through feedback, risk-taking, and action.
  • #Inclusivity. Every voice counts. Everyone contributes to our mission.

What we offer

  • Competitive salary and stock options (ESOP) from day one
  • Multicultural team with daily exposure to Portuguese, Spanish, and English (our corporate language)
  • Annual learning budget and internal accelerated development paths
  • High-ownership environment: we move fast, learn fast, and raise the bar — together
  • Smart, ambitious teammates — low ego, high impact
  • Flexible vacation and hybrid work model focused on results

If you're ready for growth, ownership, and impact — apply now and help us redefine B2B finance in Latin America.

Clara's Hybrid Policy

Claridians in a hybrid mode split their time between working from the office, talking to or visiting customers, or working from home. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for each individual and team.

We don't enforce a minimum number of days for most roles, but you're expected to spend time at the office organically, and be at the office most days during your ramp-up or when required by your leader.

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Мы разбираем объявление до настоящих требований и переписываем ваше резюме под него — вопросами, а не выдумкой: ни одна строка не появится без вашего подтверждения. Войдите, чтобы получить это первым, — и попасть в розыгрыш.

  • Резюме под конкретную вакансию, а не «универсальное»
  • Ответы хранятся: правится любой, а не весь разговор заново
  • Всё в аккаунте — открывается с любого устройства

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Machine Learning Engineer

Software Engineer – Machine Learning (AI Training)

Alignerr

Sao Paulo

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Описание вакансии

About The Role
What if your machine learning expertise could directly influence how the most advanced AI systems in the world think, reason, and write code? We're looking for experienced ML engineers in São Paulo and across Brazil to evaluate AI-generated machine learning solutions — catching errors, improving quality, and helping frontier AI models get genuinely better at one of the hardest things they do.

This is a fully remote, flexible contract role. Work asynchronously on your own schedule, from wherever you are. No fixed hours, no meetings — just high-impact, expert work that matters.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote (Brazil)
  • Commitment: Flexible, project-based

What You'll Do

  • Review and evaluate AI-generated machine learning code — including Python, TensorFlow, PyTorch, and scikit-learn — for correctness, efficiency, scalability, and clarity
  • Write high-quality ML solutions to modeling, data processing, and deployment problems across a range of difficulty levels
  • Craft clear, developer-friendly explanations for model architecture decisions, code logic, and problem-solving approaches
  • Identify edge cases, ambiguities, and weaknesses in problem statements, datasets, or AI-generated responses
  • Help set the quality bar for how AI understands and produces machine learning code

Who You Are

  • Deeply fluent in machine learning — you know your way around model development, data preprocessing, training pipelines, and deployment
  • Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
  • Strong written communicator — able to explain complex ML concepts clearly and precisely
  • Detail-oriented and rigorous — you catch what others miss and care about getting things right
  • Self-motivated and comfortable working independently in an async environment

Nice to Have

  • 3–5+ years working on machine learning projects, pipelines, or MLOps
  • Experience with model evaluation, cloud deployment, or production ML systems
  • Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field
  • Background in data labeling, RLHF, or other AI training workflows
  • Prior experience with code review or technical writing

Why Join Us

  • Work on cutting-edge AI projects alongside leading research labs and top AI teams
  • Fully remote and async — work when and where it suits you, with no minimum hour commitments beyond project needs
  • Freelance autonomy with the structure of meaningful, task-based work
  • Your contributions directly improve AI models used by top research labs and enterprise teams worldwide
  • High-performing contributors take on expanded responsibilities and lead new programs
  • Potential for ongoing work and contract extension as new projects launch

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Machine Learning Engineer

Engenharia de Analytics (Exclusiva para Pessoas com Deficiência)

Itaú Unibanco

Sao Paulo

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Описание вакансии

O Itaú é a marca mais valiosa do Brasil, a melhor empresa para trabalhar segundo o Great Place to Work e o maior banco da América Latina. Nós impactamos diariamente mais de 98 milhões de clientes em 18 países.

Somos feitos de pessoas e acreditamos que ter um time com pluralidade de origens, culturas, crenças, experiências, raças, deficiências, gêneros, orientações afetivo-sexuais e gerações ampliam as perspectivas e contribuem para um clima de respeito e valorização das diferenças.

Estamos buscando uma pessoa Analista de Engenharia de Analytics Sênior para atuar num squad responsável por produtos de dados que suportam decisões estratégicas, indicadores corporativos e a evolução da plataforma de dados.

Nosso desafio é transformar dados em produtos confiáveis, escaláveis e reutilizáveis, garantindo qualidade, governança e geração de valor para negocio. Você atuará na construção e evolução de datasets, modelos analíticos, indicadores e camadas de consumo, conectando necessidades de negocio com boas práticas de engenharia de dados e analytics.

Procuramos uma pessoa que combine Engenharia de Analytics, Engenharia de Dados e Inteligência Artificial no dia a dia. Esperamos um profissional capaz de transformar dados em produtos confiáveis para consumo humano e por aplicações de IA, utilizando tecnologias modernas para acelerar entregas, melhorar a tomada de decisão e aumentar a eficiência operacional do negocio.

Estamos buscando uma pessoa para a posição de
Engenharia de Analytics Sênior
, que queira se desenvolver e aprender, compartilhar, colaborar e inovar, entregando valor para todos os nossos clientes.

Nessa Função Você Vai

  • Atuar ponta a ponta na construção de produtos de dados analíticos.
  • Projetar datasets, modelos analíticos e produtos de dados para consumo por aplicações de IA
  • Construir e sustentar indicadores, métricas e dashboards estratégicos.
  • Garantir qualidade consistência e confiabilidade dos dados por monitoramentos e testes automatizados
  • Trabalhar em time multidisciplinar para definição de métricas e regras de negocio.
  • Usar IA para reduzir esforço operacional e aumentar a eficiência dos processos analíticos.
  • Apoiar processos de documentação, catálogo de dados, dicionário de atributos e linhagem.
  • Utilizar IA Generativa e Copilots para acelerar análises, desenvolvimento e documentação
  • Apoiar a evolução da cultura de IA dentro da equipe, disseminando boas práticas.

No que você precisa mandar bem?

  • Conhecimento sólido em Python
  • Conhecimento de SQL avançado
  • Conhecimento dos serviços da AWS (Lambda, Glue, Step Functions, Athena, S3)
  • Noções sobre modelos clássicos preditivos de Inteligência Artificial

Desejável

  • Experiência com ferramentas de IA Generativa
  • Conhecimento sólido de arquitetura de dados
  • Experiência com Engenharia de Software

Ao se tornar um ituber você tem_

  • Vale-Transporte
  • Vale-Refeição (Restaurantes) / Vale-Alimentação (Supermercados)
  • Plano médico (Fundação Saúde Itaú ou Central Nacional Unimed)
  • Plano odontológico (Odontoprev ou Interodonto)
  • Seguro de Vida
  • PLR – Participação nos Lucros e Resultados (Mediante resultados do banco)
  • Previdência privada
  • Descontos exclusivos em nossos produtos financeiros
  • Licença maternidade e paternidade estendida
  • Auxílio Creche / Babá (para papais e mamães)
  • Incentivo a estudos
  • Wellhub ou TotalPass
  • Acesso aos Clubes de Lazer Itaú (Guarapiranga / Itanhaém e São Sebastião)
  • + Algumas vantagens que você pode conhecer durante o processo 😊

Conheça mais sobre nossa cultura: https://www.itau.com.br/relacoes\-com\-investidores/noticias/cultura\-itubers\-e\-nosso\-novo\-conjunto\-de\-valores/

  • Estimulamos candidaturas de pessoas com deficiência em todas as nossas posições, sendo assim, sinta-se à vontade para se candidatar em vagas sinalizadas como exclusivas ou não para pessoas com deficiência. Somos comprometidos com a inclusão e valorizamos a diversidade.

#VemProItaú #VemSerItuber

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Machine Learning Engineer

I - 8131 - Especialista em IA (Eng. Software e Produto)

B3

Sao Paulo

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Описание вакансии

💡
Sobre a vaga
Cargo:
Especialista em IA (Eng. Software e Produto)

Localização:
São Paulo/SP

Data de publicação:
27/08/26

🏢
Como será o seu dia a dia

  • Liderar tecnicamente iniciativas estratégicas de modernização e construção de produtos digitais.
  • Definir arquiteturas, padrões técnicos, integrações e componentes para soluções escaláveis.
  • Desenvolver e evoluir aplicações utilizando Inteligência Artificial e IA Generativa.
  • Trabalhar em parceria com áreas de negócio na identificação de oportunidades e desenho de soluções tecnológicas.
  • Apoiar equipes multidisciplinares na adoção de boas práticas de desenvolvimento, arquitetura e engenharia de software.
  • Utilizar recursos de IA para acelerar entregas, elevar a qualidade das soluções e aumentar a produtividade dos times.
  • Participar da definição e evolução de roadmaps de produtos e iniciativas estratégicas.

📌
Responsabilidades da área

  • Conduzir decisões arquiteturais alinhadas às necessidades do negócio.
  • Avaliar e recomendar tecnologias, frameworks, bancos de dados e serviços em nuvem.
  • Promover a modernização tecnológica de produtos e plataformas.
  • Garantir escalabilidade, performance, segurança e governança das soluções.
  • Atuar como referência técnica para equipes e stakeholders.
  • Incentivar a adoção de automações, agentes inteligentes e boas práticas de utilização de IA.

🎯
O que esperamos da sua atuação

  • Experiência sólida em arquitetura de software e soluções corporativas.
  • Experiência com APIs, microsserviços e integrações.
  • Forte conhecimento em backend e desenvolvimento de aplicações utilizando Python.
  • Excelente lógica de programação e capacidade de atuar em diferentes stacks tecnológicas.
  • Conhecimento em modelagem e arquitetura de bancos de dados.
  • Experiência com sistemas distribuídos e soluções escaláveis.
  • Vivência com plataformas de nuvem como Azure, AWS, Oracle Cloud ou GCP.
  • Experiência prática com IA Generativa aplicada a produtos e processos.
  • Conhecimento de Prompt Engineering e arquiteturas RAG.
  • Experiência com serviços de IA em cloud, agentes inteligentes e automações.
  • Conhecimento de plataformas low-code e no-code.
  • Capacidade de atuar próximo às áreas de negócio, traduzindo necessidades em soluções tecnológicas.
  • Visão de produto e foco na geração de valor para clientes.
  • Habilidade para comunicar conceitos técnicos para públicos não técnicos.
  • Vivência em empresas de tecnologia, fintechs, marketplaces, startups ou ambientes altamente inovadores.

🚀
E será um diferencial se você tiver

  • Conhecimento em React.
  • Conhecimento em Node.js.
  • Conhecimentos em UX.
  • Experiência com Machine Learning, Deep Learning ou MLOps.
  • Conhecimentos em Data Engineering.

🏆 Benefícios

  • Participação nos Lucros e Resultados (PLR)
  • Assistência médica e odontológica Bradesco Saúde
  • Vale alimentação (R$ 600/mês)
  • Vale refeição (R$ 50/dia útil)
  • Vale transporte e reembolso parcial de fretado
  • Previdência privada
  • Licença maternidade (até 180 dias) e paternidade estendida
  • Auxílio creche/babá
  • Wellhub (Gympass) e TotalPass extensivo aos dependentes
  • Clube de Vantagens com descontos em centenas de empresas
  • Trabalho híbrido e dress code flexível (“Vista-se de você!”)
  • Plataforma de cursos Alura
  • Programas de qualidade de vida: apoio pessoal, ginástica laboral, day off de aniversário, entrada gratuita em museus, quick massage e muito mais
  • Assistência funerária para você e seu pet

🏅
Reconhecimentos
Top Employer Brasil
(2020-2025)

Melhores Empresas para Trabalhar
(Instituições Financeiras, Tecnologia da Informação, São Paulo, Mulheres, Étnico-racial, LGBTI+)

Prêmios que reforçam nosso compromisso com diversidade, inclusão e excelência

🚀
Venha construir o futuro com a B3!
Somos muito mais que a bolsa do Brasil. Somos referência global em infraestrutura de mercado financeiro, com mais de 100 anos de história e impacto direto no desenvolvimento econômico sustentável do país. Aqui, você encontra um ambiente plural, inovador e colaborativo, onde cada pessoa é protagonista da própria jornada.

Quer fazer parte de uma equipe que conecta mercados, impulsiona carreiras e transforma vidas? Então essa vaga é para você!

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Machine Learning Engineer

Energy Modelling Intern (with preference for women)

Aurora Energy Research

Sao Paulo

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Описание вакансии

Application Deadline:
14 September 2026

Department:
Modelling

Location:
São Paulo, Brazil

Description
Application Period: From 17 August until 14 September

Based in São Paulo, you will contribute to Aurora's energy modelling activities by developing analytical and computational tools, enhancing our modelling methodologies, analyzing complex datasets, identifying future market trends, and generating insights that support strategic decision-making across the global energy sector.

As part of Aurora's commitment to Diversity, Equity & Inclusion, this internship is part of an initiative to increase female representation in quantitative and engineering careers. The energy sector remains a field where women continue to be significantly underrepresented. Through this programme, Aurora aims to encourage talented women to pursue careers in energy markets, quantitative analysis and computational modelling.

We welcome applications from women currently enrolled in undergraduate programmers such as Engineering, Mathematics, Physics, Computer Science, Molecular Sciences, Economics and other quantitative disciplines at leading universities.

Key Responsibilities

  • Develop and maintain Aurora’s suite of energy market models.
  • Collaborate with our research and consulting teams to derive insights from model results
  • Contribute to continuously improving how the modelling team operates.

Skills, Knowledge and Expertise
Required attributes:

  • Enrolment in undergraduate programs in Engineering, Mathematics, Physics, Computer Science, Molecular Sciences, Economics, or other quantitative fields
  • A genuine enjoyment of working through complex problems and the ability to explain your reasoning clearly
  • Familiarity with at least one programming language, such as Python or similar
  • Strong communication and collaboration skills
  • Fluent English

Desirable attributes:

  • Experience working with quantitative data through coursework, projects, or internships, including analysing data and drawing insights
  • An interest in energy markets and how well-designed models improve real-world decisions
  • An interest in statistical and/or optimization techniques.
  • Comfortable using AI tools to support coding and analysis, with a critical eye for reviewing AI-generated outputs

What we offer

  • A fun, informal, collaborative and international work culture
  • A competitive stipend (bolsa auxílio)
  • Access to regular coaching and mentoring sessions and the opportunity to learn from experienced professionals
  • Access to the Aurora Academy, our training programme offering a range of opportunities to develop your skills within the responsibilities of your role and within the wider context of the industry
  • The Company is committed to the principle that no employee/intern or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership, pregnancy and maternity.

The team will review applications as they are received.

To apply, please submit your Résumé / CV in English

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AI Growth Automation Engineer - São Paulo (Hybrid)Clara · Brazil

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