Job description
About QuintoAndar:
QuintoAndar was born to do something very rewarding: open doors. We opened doors for technology to be part of living. And, through it, we simplify and reduce the bureaucracy of the experience of those looking for a new home. Thus, we became the most valuable proptech in Latin America, leading the real estate market in around six countries and more than 75 cities around the globe.
The first steps in the international market have been taken since we acquired Grupo Navent, which is ranked number 1 in Mexico (Inmuebles24), Argentina (Zonaprop), Peru (Adondevivir & Urbania) and Ecuador (Plusvalia) - among others. And most recently, we launched Benvi, our international brand in Mexico, which comes with our residential rental product and service.
We offer an end-to-end ecosystem to make life easier for those looking to rent or buy a home, sell a property and unlock a transaction. Think of zero paper or bureaucracy: everything happens on a single platform, with transparency and speed alongside incredible human support.
We are currently valued at over $5.1 billion (August 2021) and continue to grow 4x year over year, breaking records.
To make all this happen, we have more than 4,000 talented people, working with cutting-edge technology and best design practices to ensure a seamless experience throughout the sales and rental process, combined with smart financial products. 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://quintoandar.group/en/.
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 diverse portfolio of brands and solutions that cover all stages of the journey of living. We develop technologies and innovations that transform and leverage the whole living experience.
About working at QuintoAndar:
- Possibility of learning;
- Opportunity to work in a team that seeks to use the best practices and tools in the market;
- Work in an informal environment with a horizontal structure;
- Being part of a team working on a high-impact project that affects the lives of thousands of people.
Location & Remote Work
Our technology team works on the “remote-first” model, which means we are working from home with the possibility of living anywhere in Brazil.
Language
This job description is written in English because for that position you will need it for communications with coworkers and suppliers who are from worldwide, for tools and internal materials as well. // A descrição desta vaga está escrita em Inglês porque para esta posição é necessário para a comunicação com colegas e fornecedores, que são de diferentes países, além do uso de ferramentas e materiais internos.
About our selection process:
Our selection process currently lasts an average of 30-40 days, from application to completion of the assessment. Going through:
- Application
- Interview with Recruiter
- Tech Screening
- Interviews with Data 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 platform here 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:
- Features preparation
- Model training
- API development
- Service deployment
- Predictions and features monitoring
- Model retraining
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 developing RESTful APIs;
- 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 selection process starts with the application! If you are truly interested in joining our team, make sure to put in extra effort at this stage. We review all candidates individually and provide feedback even to those who do not proceed in the process;
All communication is done via email, so be attentive to our messages and whitelist the @quintoandar.com.br domain to prevent our emails from going to spam.
Competitive salary package;
Bonus;
Meal allowance (“Flash Benefícios”);
Public transportation allowance*;
Health plan;
Dental plan (optional);
Life insurance;
Daycare subsidy;
Subsidy to sports practicing (Gympass).
Extended maternity and paternity leave;
Reserved room for breast-feeding;
Discount on our parking lot;
Language learning support;
Free transfer from Vila Madalena and Fradique Coutinho stations to the office;
Free bike rack in our parking lot.
*Due to our new remote-work reality, that benefit may have changed. That will be informed to you throughout the hiring process.
Diversity & Inclusion at QuintoAndar
At QuintoAndar, we believe diversity of perspectives and experiences guarantee a differentiated work environment, based on respect and valuing differences. Feel free to declare the information on the registration form. If you are not comfortable answering them, just choose the option “I prefer not to respond”. This information helps us create an increasingly inclusive environment and it is used only for this purpose, it is confidential, and it will not impact your performance throughout the hiring process
Data Protection Policy
The data entered in the selection process form is confidential and stored in a secure environment. We take appropriate technical and administrative measures to protect your data.
To exercise your rights over your personal data, such as access to data, treatment confirmation, data correction, anonymization, blocking or deletion, and other rights with QuintoAndar, contact us at quin.to/mensagem. To learn more about how we treat personal data at QuintoAndar access our Privacy Policy.
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