Machine Learning jobs in Brazil

About Grupo QuintoAndar

We are Grupo QuintoAndar, the largest real estate ecosystem in Latin America. Guided by a shared purpose of helping people love where they live, we have a diversified portfolio of brands and solutions across different countries in Latin America, covering all phases of the housing journey. We also have a Technology Hub in Portugal. We develop technology and innovation to transform and enhance the overall living experience.

With the support of a world-class team of investors and advisors, including Kaszek, Qualcomm, General Atlantic, and SoftBank, Grupo QuintoAndar is currently valued at over USD 5.1 billion and continues to grow year over year.

Here, you will work with top professionals in the market, in an environment that breathes innovation, collaboration, and high performance. To learn more about our story, visit: https://grupoquintoandar.com/pt/.

Our technology team operates under a "remote-first" model, which means we work from home and can live anywhere in Brazil. We also offer the option of working from our São Paulo offices or partner coworking spaces, up to twice a week.

The stages of our hiring processes aim to assess your experiences and allow you to meet our teams and explore career opportunities. They are structured as follows:

• Application
• People Interview with Recruiter
• Technical Interviews with Data Team
• Leadership Interview with Hiring Manager
• Offer

Join our Data & AI team and become a key part of our product tribes, delivering features that enrich our product and uphold the first-class experience we're known for. You'll collaborate with talented individuals from various disciplines: Data Engineers, Data Scientists, Machine Learning Engineers, Software Engineers, Product Managers, Designers, and more. Get ready for the job of a lifetime — expect challenging tasks, high standards, meaningful conversations, and outstanding productivity.

As a Tech Lead Manager on our team, you will balance hands‑on technical work with managerial responsibilities, having the opportunity to make a significant impact through both technical excellence and strategic leadership. This role is designed for professionals who are passionate about deep technical challenges and team leadership, allowing you to grow by solving complex problems. You'll drive high‑impact projects, mentor and guide team members, and play a crucial role in shaping the technical direction of our products.

• Lead a small team of Data Engineers to build data products that are a part of our CX platform and allow analytics of all our operations. As you grow you may also lead Data Scientists and MLEs, always as the single leader for the entire context.
• Be a technical reference to the team, including doing hands‑on engineering work.
• Shape the technical direction of our products, translating business requirements into solutions.
• Discuss business requirements with the Line Leader, Product Manager and other stakeholders.
• Being a key leader in the CX Platform context making decisions together with your engineering, product and design peers to achieve our OKRs.

• Solid understanding of the engineering challenges of deploying data products to production.
• Solid understanding of systems, software and data engineering best practices.
• Expertise in modern data architecture concepts and technologies (e.g., Databricks, Snowflake, Apache Iceberg/Delta Lake).
• Strong proficiency in Python with a passion for writing clean, maintainable, and well‑tested code.
• Experience with distributed processing frameworks such as Apache Spark.
• Advanced SQL skills and expertise in data modeling techniques for analytical workloads.
• Experience with Apache Airflow or other data workflow tools.
• Ability to lead and drive projects involving collaboration across multiple engineering, data and business teams.
• Experience leading teams and managing careers.

• Fluency in cloud data services and infrastructure on at least one major cloud provider (AWS, GCP, or Azure).
• Experience with real‑time data streaming technologies such as Apache Kafka or Kinesis and query engines like Trino/Presto.
• Contributed to or designed data platforms that support Machine Learning pipelines or advanced analytics use cases.
• Experience building data pipelines for GenAI applications (e.g. RAG, embeddings, vector databases).
• Knowledge of infrastructure areas such as containers and orchestration, CI/CD strategies, and infrastructure as code.
• Experience in external data integrations with high volume and strong security requirements.

• Our hiring process starts with the application! If you truly want to be part of our team, please complete this step of the process. We analyze all candidates individually and provide feedback to all applicants.
• All communication will be conducted via email, so please stay tuned for our messages and release the domain @quintoandar.com.br to ensure our emails are not sent to spam.
• Profit sharing
• Health insurance
• Life insurance
• Childcare subsidy and Atypical Parenthood subsidy
• Home office allowance
• Employee assistance program (mental health, social, legal, and financial support)
• Extended parental leave
• Day off on birthday, Mother’s Day, and Father’s Day
• Benefits Club (discounts on everyday services)
• Discounts at educational institutions

We value diversity and want everyone to feel welcome here, regardless of their age, gender identity, sexual orientation, race, color, ethnicity, origin, disability, religion, or any other characteristic. All our job openings are open to all individuals!

You’ll notice there are some diversity questions in the application form. For affirmative action roles, this information may be used to verify your alignment with the target audience for the opportunity. In such cases, this information may be used for elimination purposes. For non‑affirmative action roles, this data will be used anonymously, exclusively to monitor and improve our inclusion practices in the hiring process, and will have no impact on your application.

The Grupo QuintoAndar operates in compliance with privacy and data protection laws, including, but not limited to, the Brazilian General Personal Data Protection Law (LGPD) (Law No. 13,709/2018), and ensures the security of your data. To learn more, please access our Privacy Notice for Candidates. For questions or to exercise your rights as a data subject, please contact us through our Service Channel.