Grupo QuintoAndar | Senior Machine Learning Engineer

Grupo QuintoAndar; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading real estate tech company in Brazil is seeking a Senior Machine Learning Engineer to develop and scale ML systems. This role combines software engineering and data science to create production-ready ML models in a collaborative environment. Candidates should have robust software and cloud infrastructure skills, with experience in deploying ML services. The position supports a remote-first work model, offering flexibility while working with a diverse team of experts.

Qualificações

• Deep expertise in deploying and maintaining ML services.
• Experience with tough technical challenges.
• Orientation to business value.

Responsabilidades

• Create production-ready Machine Learning models.
• Integrate ML services with engineering systems.
• Develop frameworks to build and monitor ML services.

Conhecimentos

Strong software engineering and python skills

Solid background in Machine Learning

Proven experience in productionizing ML models

Good cloud-based infrastructure skills

Experience with MLOps tools (MLflow, Kubeflow, etc.)

Good communication and teamwork skills

Formação académica

MSc. or PhD in Computer Science, Engineering, Statistics

Ferramentas

AWS SageMaker

Google AI Platform

Spark

Descrição da oferta de emprego

Grupo QuintoAndar | Senior Machine Learning Engineer

About QuintoAndar Group

We are Grupo QuintoAndar, the largest real estate ecosystem in Latin America. Guided by a shared purpose of helping people love the place they live, we have a diverse portfolio of brands and solutions across different countries in Latin America, as well as a Tech Hub in Portugal. We develop technology and innovation to transform and boost the housing experience.

With the support of a world‑class team of investors and advisors, including Kaszek, Qualcomm, General Atlantic, and SoftBank, the QuintoAndar Group is currently valued at over US$5.1 billion and continues to grow year after year.

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

Location & Remote Work for technology and remote‑first roles

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.

Language

This job description is written in English because it will be necessary for communication with coworkers and suppliers from around the world, as well as for tools and internal materials.

Stages of the hiring Process

The stages of our hiring process aim to assess your experiences and provide you with an opportunity to meet our teams and career opportunities, and are structured in the following steps:

• Application
• Interview with Recruiter
• Interviews with Data&AI Team
• Offer

About the MLE Role

At QuintoAndar we use Machine Learning (ML) to build delightful experiences and solve complex problems. We are at a maturity level where scaling those ML systems is also a challenge. We need Machine Learning Engineers to bring great models to production as effective ML‑based products and features, and also evolve this ecosystem.

You can learn more about our ML pipeline and platformhere and here . Or play a bit with Butterfree here and discover how features are transformed to our Feature Store.

Machine Learning Engineer Responsibilities at QuintoAndar

• Combine Software Engineering and Data Science disciplines to create production‑ready Machine Learning models;
• Integrate other engineering services and systems with our ML services;
• Develop frameworks and platform to build, deploy, serve and monitor ML‑based services;
• Collaborate with Software Engineers, Data Engineers and Data Scientists along the way of the modeling pipeline;
• Predictions and features monitoring;
• Assure health and quality of ML services;
• Foster best practices for infrastructure and coding regarding machine learning specific requirements;
• Contribute to vision and architecture to scale ML solutions at QuintoAndar's business;
• Participate of problem contextualization, solution scope, product discovery, design and implementation of ML‑based products and/or ML Platform;
• Manage technical debt regarding a strategic trade‑off between delivering value in the short term and expanding ML capabilities in the long term;
• Bridge professionals and technical dependencies between non‑ML services and ML services.

What we are looking for:

• Strong software engineering and python skills;
• Solid background in Machine Learning;
• Proven experience in productionizing ML models, with deep expertise in deploying and maintaining ML services;
• Good cloud‑based infrastructure skills;
• Experience with MLOps tools and libraries (Ex: MLflow, Kubeflow, AWS SageMaker, Google AI Platform, etc);
• Experience with tough technical challenges;
• Humility, curiosity and avid interest in learning;
• Ability to deal with changes in a fast‑paced environment;
• Good communication and teamwork skills;
• Orientation to business value.

You’ll stand out if you have:

• MSc. or PhD in Computer Science, Engineering, Statistics, or other relevant technical fields;
• Experience with Deep Learning models;
• Experience with LLMs, AI Agents and chatbots;
• Experience working on ML Platform team;
• Experience with Spark;
• Experience in fast‑growing start‑ups or in high‑tech companies;
• It will be a plus if you have some Java experience (or other ‘low-level’ or compiled language)

Important:

• Our hiring process starts with the application! If you genuinely 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.