Engenharia de Analytics (Exclusiva para Pessoas com Deficiência)

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

💡
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!

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

About Us
Zurich Insurance Company is a leading provider of insurance products and services, committed to delivering innovative solutions and exceptional customer service. Our ZCAM (Zurich Customer Active Management) team turns customer data into practical business solutions to drive the implementation of our ambitious customer strategy. If you are a talented and experienced Data Scientist, passionate about transforming complex data into actionable insights and have a strong background in machine learning, agentic AI, and developing innovative solutions, we would love to hear from you.

So make a difference. Be challenged. Be inspired. Be supported, Love what you do. Work for us.
The opportunity: DATA SCIENTIST
Job Description
The Data Scientist will be responsible for designing, developing, and deploying advanced analytics solutions that power data-driven decisions across the Zurich organization. You will work with large-scale datasets, implement machine learning models in production environments, and leverage emerging AI technologies including LLMs to solve complex business problems. By combining technical excellence with business acumen, you'll help create a robust data foundation that drives innovation and growth.

Responsibilities

• Design, develop, and deploy machine learning models, AI agents, LLM-based solutions, and analytics solutions
• Source, collect and analyse new data sources
• Work closely with development teams to implement features into production
• Work closely with business stakeholders to translate complex technical concepts into actionable business insights
• Research, prototype, and implement emerging AI/ML technologies, particularly in generative AI and modern data science tools
• Contribute to the development of data science roadmaps and architectural decisions for scalable analytics solutions

Requirements

• University degree in physics, math, computer science or a related field
• Professional experience in related role and/or demonstrated competency (projects) utilizing relevant technologies
• Proficient in Python with experience building production systems.
• Strong foundation in unstructured data modeling, combining techniques such as OCR, LLM-based extraction, data format consistency, and regular expressions, along with software engineering best practices including version control, testing frameworks, and code documentation.
• Experience with machine learning tools in big data environments
• Practical experience with LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, and response optimization
• Experience with SQL/NoSQL databases
• Strong problem-solving skills, analytical mind and attention to detail
• Excellent verbal and written communication skills including the ability to explain technical issues to a non-technical audience
• Prior experience in financial institutions, consulting firms, or other similar industries is a plus
• Ability to quickly build Proofs of Concept (POCs), MVPs, and tests to demonstrate value and validate innovative solutions in an agile manner.
• Experience with dashboard and data visualization tools such as Power BI, Streamlit, or similar is a plus.
• Strong proficiency in both English and Portuguese is required, Spanish language skills are a plus

Additional Information
We look forward to receiving your online application.

Zurich wants to attract the best talent and we acknowledge that talents might not always be available full-time. At Zurich we will consider requests for flexible working. Many of our employees work flexibly in a variety of ways. Please talk to us during the interview about the flexibility you may need.

EM SUA JORNADA A GENTE TE APOIA COM:

• Ambiente de trabalho acolhedor;
• Jornada de 7h30/dia.
• UniZurich (nossa Universidade Corporativa);
• Day Off de Aniversário;
• Equilíbrio Z (nosso programa de promoção da Saúde e Bem-estar);
• Convênios/Parcerias com Universidades, Instituições;
• Gympass;
• Assistência Médica Bradesco (extensivo a cônjuge e filhos);
• Assistência Odontológica Bradesco (extensivo a cônjuge e filhos);
• Auxílio Creche/Babá (R$ 460,00 – para filhos até 5 anos e 11 meses);
• Diferenciais nos produtos da Zurich (seguro de carro, seguro de vida etc.)
• Licença Parental (independente de estado civil, gênero ou orientação sexual, para filhos biológicos e/ou adotivos de qualquer idade);
• Seguro de Vida;
• PLR;
• Auxílio Home Office;
• Vale transporte ou reembolso Fretado;
• Previdência Privada (contribua com até 6% de seu salário que a Zurich aportará a mesma porcentagem);
• Vale Alimentação – R$ 805,83 ao mês;
• 13º Vale Alimentação (dezembro);
• Vale Refeição – R$ 1.042,58 ao mês.
• Assistência Viagem Familiar (24 horas)
• Assistência funeral para grupo familiar (cônjuge, filhos, pais e sogros);
• Cesta Natalidade: valor de R$ 702,82 para despesas vinculadas ao nascimento.
• PreviJúnior, um plano de previdência complementar com um aporte único no valor de R$ 1.000,00.
• Assistência Pet (cães e gatos): Consultas, cirurgias, exames, assistência funeral e muito mais!

Location: Brazil - São Paulo/SP