MLOps Jobs in Sao Paulo.
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Quantitative Specialist — Portfolio Solutions, Nu Asset
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About Us
Nu is one of the largest digital financial platforms in the world, with more than 122 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.
Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.
Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page https://international.nubank.com.br/careers/
About the team
Portfolio Solutions is the team within Nu Asset Management responsible for the firm's ETFs and systematic fundos, and the allocation models behind our products and the broader Nubank ecosystem. We believe most of an investor's long-term return comes down to three things: cost, allocation, and discipline. Our job is to deliver all three at scale — which means we treat infrastructure, automation, and AI tooling as core to investment research, not as side projects.
We're looking for a quantitative analyst to strengthen our research, index construction, allocation modeling, and the platform that ties it all together.
What you'll do
- Research, design, and implement indices and systematic strategies across fixed income, equities, and derivatives — including structures such as covered calls, duration barbells, and factor portfolios
- Build and maintain multi-asset allocation models, with attention to efficient replication, tracking error control, and transaction costs
- Run rigorous backtests: no look-ahead, no survivorship, realistic costs. We don't publish a curve without out-of-sample replication
- Help build the quantitative infrastructure of the team: reusable data pipelines, backtest frameworks, monitoring dashboards, and reporting workflows on Databricks. The goal is that every model you build outlives the project it was born in
- Develop AI-powered tools for investment research: LLM-driven analysts on top of our internal datasets, agents for routine analytical tasks, copilots that compress the distance between question and answer for the whole team
- Support the launch of new ETFs — from index methodology to interactions with index prodviders, market makers, administrators, and custodians
- Read papers, replicate results, and tell apart what works from what looks like it works
What we're looking for
- Bachelor's degree in a quantitative field: engineering, math, physics, statistics, economics, computer science, quantitative finance, or equivalent
- 3+ years in quantitative research, systematic asset management, risk, or adjacent roles
- Strong Python (pandas, numpy, scipy). Comfort writing code that other people will read, run, and extend
- Curiosity about — and ideally experience with — building production-grade analytical infrastructure: pipelines, jobs, dashboards, internal tools
- Genuine interest in applying LLMs and AI agents to quantitative work, not just as users but as builders
- Familiarity with the Brazilian market: NTN-B, IMA, Ibovespa, B3 derivatives, local ETF dynamics
- A collaborative, constructive way of working: you ask for help when stuck, you offer help when others are, you document, you review code, you disagree clearly without making it personal, and you give credit generously
- Ability to communicate quantitative results clearly — to portfolio managers, commercial teams, and ultimately to the end investor
Nice to have
- CFA, CAIA, FRM, or a graduate degree in a quantitative field
- Experience with ETFs, index replication, or benchmark construction
- Hands-on Databricks (Workflows, Delta, Unity Catalog, Databricks Apps), version control discipline, MLOps fundamentals
- Experience designing or shipping internal tools, copilots, or RAG systems
Benefits
- Chance of earning equity at Nubank
- Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
- Public Transportation Commuting Benefit (Vale-Transporte)
- NuCare – Psychological, Financial and Legal Assistance Program
- Life Insurance
- Medical Plan
- Dental Plan
- NuLanguage – Language Course Program
- Nucleo - Our learning platform of courses
- Extended Parental Leave
- Daycare Allowance
- Parental Consultancy
- Work-from-home Allowance
- Gym Partnerships
- 30 days of paid vacation
- Relocation Assistance Package, if applicable
Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/
Ready to apply?
Apply to Nubank
Senior Machine Learning Engineer - Refer
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Senior Machine Learning Engineers at Thoughtworks build, maintain and test the architecture and infrastructure for managing machine learning applications. They are involved in supporting and contributing to the design of the end-to-end applications and products. They are responsible for building core capabilities including technical and functional machine learning systems and applications, being the anchor for functional streams of work and are accountable for timely delivery.
As a senior machine learning engineer, you will work on the latest tools, frameworks and offerings while also being involved in enabling credible and collaborative problem solving to execute on a strategy.
Job responsibilities
- You will contribute to design and drive the development of robust scalable architectures and infrastructure for deploying and managing machine learning (ML) applications, ensuring high availability, performance and security
- You will collaborate with data scientists and engineers to translate business needs into effective and efficient ML systems and applications
- You will own the development and maintenance of core functionalities within ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation
- You will drive the functional stream of work by providing technical expertise, handling team discussions and ensuring timely delivery of assigned tasks
- You will stay ahead of the curve by actively exploring and implementing the latest tools, frameworks and offerings in the ML landscape
- You will facilitate collaborative problem solving within the team by actively listening, communicating effectively and mentoring other engineers
- You will contribute to the development and execution of the team's overall ML strategy, aligning technical capabilities with business objectives
- You will proactively identify and address challenges related to ML systems and applications, proposing solutions and implementing improvements
Job qualifications
Technical Skills
- You have experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code
- You are proficient in scripting languages such as Python or Shell for automation and task streamlining
- You have knowledge of distributed systems and scalable architectures to handle large-scale ML applications
- You have experience with building, deploying, and maintaining ML systems using relevant ML techniques and platforms, i.e.: Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch
- You have experience with building, deploying and maintaining ML systems and experience with application of MLOps principles and CI/CD to ML
- You have experience in machine learning engineering and data science, are familiar with key ML concepts, algorithms and frameworks, and understand ML model lifecycles
- You have experience with designing and operating the infrastructure required to run different types of ML training and serving workloads, i.e.: on-premise vs. cloud infrastructure, infrastructure as code, monitoring, etc.
- You have hands-on experience with on-premise and cloud services for building and deploying ML pipelines, i.e.: Azure, AWS, GCP or Databricks and associated ML managed services
Professional Skills
- You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way
- You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives
- You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them
- You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work
- You enjoy influencing others and always advocate for technical excellence while being open to change when needed
Other things to know
Learning & Development
There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.
Travel
While we’ve traditionally been a traveling consultancy, we have adopted a hybrid working model with the majority of work being completed remotely from either home or local Thoughtworks offices. However, business travel to client locations should be expected when required by Thoughtworks or our clients’ needs.
Company Policies
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
About Thoughtworks
Thoughtworks is a global technology consultancy that integrates strategy, design and engineering to drive digital innovation. For 30+ years, our clients have trusted our autonomous teams to build solutions that look past the obvious. Here, computer science grads come together with seasoned technologists, self-taught developers, midlife career changers and more to learn from and challenge each other. Career journeys flourish with the strength of our cultivation culture, which has won numerous awards around the world.
Join Thoughtworks and thrive. Together, our extra curiosity, innovation, passion and dedication overcomes ordinary.
#LI-Remote
Ready to apply?
Apply to Referrals OnlyAbout Us
Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.
About the Role
AI Platform Team - The mission of the AI Platform team is bold: to democratize AI by empowering every Nubanker—not just Data Scientists—with safe, scalable, and accurate Machine Learning capabilities.
We are looking for a Manager who is passionate about creating solutions that push the boundaries of our current stack. You will help us move beyond basic DS work to abstract the complexities of the entire ML lifecycle—from training and deployment to serving and governance.
Why is this role open?
We are scaling. Currently, our structure has grown significantly, and to ensure the organization's health and the growth of our engineers, we are opening this position to lead a dedicated squad. You will take ownership of a team that manages the base infrastructure for the entire Data Science function at Nubank.
You'll be responsible for:
As the ML Manager for the AI Platform, you will combine technical leadership with people management. You will lead a squad of 11 Machine Learning Engineers (varying from Senior to Intern levels) and work closely with a Staff ML Engineer and a Product Manager.
- People Management: Foster a culture of feedback and growth. You will guide the development of your direct reports, conducting performance reviews and helping them navigate their careers.
- Strategic Roadmap: Translate high-level business goals into actionable technical roadmaps. You will discuss needs with stakeholders and define the "how" and "when."
- Architecture & Innovation: Explore architecture gaps and opportunities. You won't just maintain; you will challenge the team to explore complex features like scalable parallel processing and better UX for Data Scientists.
- Execution: Conduct initiatives with autonomy and diligence, ensuring we deliver value while maintaining high engineering standards.
Nubank already has well-established tools for basic Data Science work. Your challenge is to take us to the next level. You will push the frontiers of technology to handle massive scale, integrate with multiple complex systems, and democratize access to AI tools across the company.
What we are looking for
You don't need to be a hands-on coder 100% of the time, but you must have the technical depth to challenge the team and understand the ecosystem.
- Experience in Leadership: You have experience managing high-performing engineering teams, sharing feedback, and hiring/developing talent.
- Domain Expertise: Solid background in ML Engineering, AI, or Data Science, specifically with a focus on MLOps, Infrastructure, and Platform building.
- Tech Stack Familiarity: You are comfortable discussing and architecting systems involving Kubeflow, SageMaker, and Databricks.
- The "Builder" Mindset: You enjoy building software. You want autonomy to make decisions and explore edge technologies, similar to the engineering culture found in Big Tech
Our Benefits
- Chance of earning equity at Nubank
- Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
- Public Transportation Commuting Benefit (Vale-Transporte)
- NuCare – Psychological, Financial and Legal Assistance Program
- Life Insurance
- Medical Plan
- Dental Plan
- NuLanguage – Language Course Program
- Nucleo - Our learning platform of courses
- Extended Parental Leave
- Daycare Allowance
- Parental Consultancy
- Work-from-home Allowance
- Gym Partnerships
- 30 days of paid vacation
- Relocation Assistance Package, if applicable
Work Model for this Role
Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/
Ready to apply?
Apply to Nubank
A Capco é uma consultoria global de tecnologia e negócios, focada no setor de serviços financeiros e energia, somos apaixonados por ajudar nossos clientes, temos 40 escritórios nas Américas, Europa e Ásia-Pacífico! Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira!
Como membro da equipe de Entrega de Tecnologia da Capco, você trará uma sólida base em ciência de dados aplicada, análise estatística e práticas ágeis de entrega. Como Cientista de Dados em IA Aplicada, você desempenhará um papel fundamental na transformação de dados complexos em insights acionáveis e soluções habilitadas por IA que apoiam resultados reais de negócio.
Você contribuirá ao longo de todo o ciclo de vida de analytics aplicado — desde análise exploratória e modelagem até validação e suporte em produção — trabalhando em estreita colaboração com engenheiros, equipes de produto e stakeholders. Seu trabalho ajudará a conectar técnicas analíticas avançadas com capacidades escaláveis e prontas para produção em projetos de alto impacto com clientes.
O que você fará:
- Realizar análises estatísticas, clusterização e modelagem probabilística para gerar insights e orientar soluções baseadas em IA
- Analisar dados estruturados em grafos para detectar anomalias, extrair padrões probabilísticos e apoiar inteligência baseada em grafos
- Construir pipelines de NLP com foco em NER (Reconhecimento de Entidades Nomeadas), resolução de entidades, extração de ontologias e scoring
- Contribuir para esforços de engenharia de IA/ML desenvolvendo, testando e implantando modelos e serviços orientados por dados
- Aplicar fundamentos de MLOps, incluindo rastreamento de experimentos, monitoramento de métricas e práticas de reprodutibilidade
- Colaborar com equipes multifuncionais para transformar análises em soluções prontas para produção
- Prototipar rapidamente, iterar com eficiência e ajudar a evoluir as melhores práticas de ciência de dados na equipe
O que você precisa ter:
- Experiência sólida em modelagem estatística, técnicas de clusterização e análise baseada em probabilidade
- Experiência prática com análise de dados em grafos, incluindo detecção de anomalias e extração de padrões de distribuição
- Fortes habilidades em NLP, com experiência em NER, extração de entidades/ontologias e métodos de avaliação relacionados
- Mentalidade voltada à engenharia, com capacidade de construir, implantar e otimizar soluções reais (não apenas teóricas)
- Conhecimento prático dos fundamentos de MLOps, incluindo rastreamento de experimentos e métricas de modelos
- Proficiência em Python e bibliotecas comuns de ciência de dados/IA
- Boa comunicação e capacidade de trabalhar de forma colaborativa em ambientes dinâmicos de IA aplicada
- Inglês avançado/fluente (será avaliado em entrevista) - Eliminatório.
.
POR QUE CAPCO:
Na Capco promovemos uma cultura inclusiva. Valorizamos a diversidade em todas as suas expressões.
Pensamos, em conjunto, sempre em ações diversas de inclusão e de responsabilidade social através de comitês internos geridos pela nossa comunidade interna, como os grupo de Mulheres, Pessoas Com Deficiência, Pessoas Negras, LGBTQIAPN+, Parentalidade, Gerações, entre outros. Nossas oportunidades são trabalhadas para todos(as)!
#LifeAtCapco
PRÓXIMOS PASSOS:
- Se você está ansioso(a) para progredir sua carreira conosco, candidate-se e aguarde o contato de um de nossos recrutadores!
Ready to apply?
Apply to CapcoA Capco é uma consultoria global de tecnologia e negócios, focada no setor de serviços financeiros e energia, somos apaixonados por ajudar nossos clientes, temos 40 escritórios nas Américas, Europa e Ásia-Pacífico! Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira!
Engenheiro de Inteligência Artificial
Responsabilidades:
- Projetar, desenvolver e aprimorar aplicações baseadas em foundation models (ex.: LLMs, modelos multimodais) para necessidades específicas de negócio;
- Implementar e experimentar técnicas de IA generativa, incluindo, mas não se limitando a, Retrieval-Augmented Generation (RAG) e prompt engineering;
- Liderar a implementação de agentes autônomos inteligentes e sistemas multiagente capazes de tomada de decisão complexa, execução de tarefas e interação com sistemas externos;
- Utilizar e contribuir para frameworks de IA agentic (ex.: LangChain, AutoGen, Semantic Kernel, Crew AI) para construir agentes robustos e escaláveis;
- Desenvolver e integrar soluções de Model Context Protocol (MCP) para padronizar como aplicações de IA acessam e utilizam fontes de dados externas, ferramentas e informações em tempo real;
- Liderar o desenvolvimento de aplicações full-stack que integrem modelos de IA generativa e sistemas agentic, garantindo experiências de usuário fluidas;
- Trabalhar com tecnologias de front-end (ex.: React, Angular, Vue.js, JavaScript, TypeScript, HTML, CSS) e back-end (ex.: Python com Flask/Django/FastAPI, Node.js, Go);
- Projetar e implementar APIs RESTful escaláveis e microsserviços para expor funcionalidades de IA;
- Implantar, gerenciar e otimizar cargas de trabalho de IA/ML e aplicações full-stack em pelo menos uma grande plataforma de nuvem (AWS, Azure ou GCP);
- Implementar práticas de LLMOps/MLOps e DevOps para integração contínua, entrega contínua (CI/CD), implantação de modelos, monitoramento e gestão de ciclo de vida;
- Manter-se atualizado sobre os avanços mais recentes em IA generativa, sistemas agentic, foundation models e áreas relacionadas por meio de pesquisa e experimentação contínuas;
- Colaborar de forma eficaz com equipes multifuncionais, incluindo gerentes de produto, cientistas de dados, pesquisadores e outros engenheiros;
- Orientar engenheiros juniores, compartilhar conhecimento e promover uma cultura de excelência técnica.
Requisitos:
- Bacharelado ou Mestrado em Ciência da Computação, Inteligência Artificial, Machine Learning ou área quantitativa relacionada;
- 5+ anos de experiência em desenvolvimento de software com forte foco em IA/ML;
- Experiência comprovada na construção e implantação de modelos de IA generativa (ex.: LLMs, modelos de difusão) em ambientes de produção;
- Expertise demonstrada em projetar e implementar sistemas de IA agentic e arquiteturas multiagente;
- Sólido entendimento e experiência prática com Model Context Protocol (MCP) para integração de sistemas de IA;
- Experiência consistente em desenvolvimento de aplicações full-stack;
- Ampla experiência com plataformas de nuvem (AWS, Azure ou GCP) para implantações de IA/ML e hospedagem de aplicações em geral;
- Experiência com ferramentas e práticas de LLMOps (ex.: Langfuse, Langsmith, etc.);
- Excelentes habilidades de resolução de problemas, análise e comunicação;
- Capacidade de trabalhar de forma independente e colaborativa em um ambiente ágil e dinâmico;
- Inglês avançado.
Diferenciais:
-
Experiência anterior com sistemas de conhecimento baseados em grafos.
-
Familiaridade com ferramentas e frameworks de GenAI (LangChain, LlamaIndex, OpenAI APIs).
-
Experiência em projetos do setor de seguros ou serviços financeiros.
POR QUE CAPCO:
Na Capco promovemos uma cultura inclusiva. Valorizamos a diversidade em todas as suas expressões.
Pensamos, em conjunto, sempre em ações diversas de inclusão e de responsabilidade social através de comitês internos geridos pela nossa comunidade interna, como os grupo de Mulheres, Pessoas Com Deficiência, Pessoas Negras, LGBTQIAPN+, Parentalidade, Gerações, entre outros.
Nossas oportunidades são trabalhadas para todos(as)!!!
#LifeAtCapco
PRÓXIMOS PASSOS:
- Se você está ansioso(a) para progredir sua carreira conosco, candidate-se e aguarde o contato de um de nossos recrutadores!
Ready to apply?
Apply to Capco
Lead Machine Learning Engineer / Applied AI Scientist
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About Us
Nu was born in 2013 with the mission to fight complexity to empower people in their daily lives by reinventing financial services. We are one of the world’s largest digital banking platforms, serving millions of customers across Brazil, Mexico, and Colombia.
About the role
At AI Core, we are scaling the impact of our AI initiatives to become the primary driver of Nubank’s most critical decision systems. We are seeking an Lead Machine Learning Engineer (Applied AI Scientist) to lead high-impact research projects that bridge the gap between state-of-the-art AI and production-grade financial systems. You will be responsible for solving complex, ambiguous problems using Deep Learning and Foundation Models, ensuring our architectures are scalable, efficient, and driving measurable business results.
As an Applied AI Scientist (MLE), you’re expected to:
- Research Execution & Technical Leadership (Complexity & Autonomy)
- Lead and execute complex applied research initiatives independently, focusing on building and optimizing architectures (e.g., Transformers, GNNs) that can be deployed across critical use cases like Credit, RecSys, GenAI, and real-time inference.
- Address difficult and ambiguous modeling problems that require coordination across various stakeholders (Data, Infra, Product), delivering innovative solutions with a clear focus on medium-term impact.
- Bridge the gap between research and production by designing architectures that respect MLOps constraints, ensuring models are optimized for latency, interpretability, and cost-efficiency.
- Strategic Impact & Collaboration (Impact)
- Develop and deliver innovative solutions that address project-level challenges, focusing on pushing the latest platform and AI research improvements into downstream production models.
- Actively participate in cross-functional collaborations, ensuring that research outputs are seamlessly integrated into Nubank's decision-making engines.
- Establish technical standards within the AI Core team for experimentation, model evaluation, and code quality, inspiring peers to raise their performance.
- Mentorship & Function Contribution (Function Contribution)
- Serve as a technical mentor for senior engineers and researchers, providing guidance on deep learning fundamentals, problem formulation, and research methodology.
- Actively contribute to the function's growth by participating in mandatory activities like hiring (interview panels) and leading internal task forces to improve our ML lifecycle.
- Contribute to thought leadership by participating in research collaborations or internal papers that align with Nubank’s strategic goals.
What are we looking for?
- Professional Experience: 5-7+ years in applied AI/ML, with a proven track record of delivering research-driven systems into production environments
- Technical Mastery:
- Deep expertise in Deep Learning architectures (Transformers, Multimodal, or GNNs).
- Strong coding skills in Python and proficiency with frameworks like PyTorch, JAX, or TensorFlow.
- Solid understanding of MLOps and the constraints of deploying models at scale.
- Problem Solving: Sophisticated skills in ML problem formulation and the ability to navigate uncertainty when data is messy or unavailable.
- Communication: Ability to communicate complex technical concepts to both technical peers and cross-functional stakeholders, ensuring alignment and buy-in.
- Analytical Capacity: Experience with large-scale experimentation and A/B testing to validate research hypotheses.
Our Benefits
- Chance of earning equity at Nubank
- Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
- Public Transportation Commuting Benefit (Vale-Transporte)
- NuCare – Psychological, Financial and Legal Assistance Program
- Life Insurance
- Medical Plan
- Dental Plan
- NuLanguage – Language Course Program
- Nucleo - Our learning platform of courses
- Extended Parental Leave
- Daycare Allowance
- Parental Consultancy
- Work-from-home Allowance
- Gym Partnerships
- 30 days of paid vacation
- Relocation Assistance Package, if applicable
Work Model for this Role
Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/
Ready to apply?
Apply to Nubank