Grupo QuintoAndar | MLOps Manager

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 products Team
• Leadership & Management
• Offer

Machine Learning at QuintoAndar

At QuintoAndar, we’re reimagining industries through cutting-edge AI and machine learning solutions. Our projects span areas like intelligent search, personalized recommendations, customer experience powered by large language models (LLMs), credit modeling, and house pricing and liquidity prediction. As we continue to scale, we’re looking for an MLOps Manager to lead the efforts in streamlining the development, deployment, and monitoring of our machine learning systems.

Here you’ll work on high-impact projects that influence millions of users, leveraging state-of-the-art AI technology. We offer a fast-paced, dynamic environment with ample opportunities for career growth, learning, and collaboration. If you’re passionate about MLOps and eager to contribute to game-changing innovations, we want to hear from you.

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.

MLOPs Manager Responsibilities at QuintoAndar

• Lead the MLOps Squad: Oversee a cross-functional team of Machine Learning Engineers and Data Scientists focused on building and maintaining our ML Platform. You'll guide the team in balancing long-term vision with the delivery of high-impact features.
• Collaborate with Data Science Leaders: Work closely with the Data Science team to deeply understand and deliver on ML platform requirements, ensuring seamless integration between models and production systems.
• Optimize Model Deployment & Monitoring: Ensure the smooth deployment and ongoing performance of models, implementing best practices for monitoring, scaling, and addressing model drift.
• Foster Best Practices: Lead by example in promoting infrastructure and coding standards that align with machine learning requirements, ensuring efficient, scalable systems.
• Drive Automation & Efficiency: Automate workflows, integrate new tools, and streamline pipelines to support fast iteration, model updates, and continuous delivery.

Requirements

What we are looking for:

• General understanding of machine learning concepts: regression and classification, clustering, neural networks, feature selection, cross-validation, curse of dimensionality, bias-variance tradeoff, model explainability, etc.;
• Good understanding of the engineering challenges of deploying machine learning systems to production;
• Solid understanding of software and data engineering best practices;
• Experience with cloud-based services;
• Proficiency in Python or another major programming language;
• Someone up-to-date with recent advances in Machine Learning Engineering, and willing to share his/her knowledge with the other members of the Data Science Chapter;
• Excellent written and verbal technical communication skills;
• Someone product-minded that will help guide QuintoAndar's Machine Learning Platform long-term roadmap.
• Experience leading teams and managing careers.

You’ll stand out if you have:

• Have previously worked on building machine learning platforms
• Have experience with MLOps tools and libraries (Ex: Kubeflow, MLflow, AWS SageMaker, Google AI Platform, etc);
• Have a MSc. (or Undergrad + intense experience) in Computer Science, Engineering, Statistics, Economics or other relevant technical field;
• Have experience working at fast-growing startups;
• Are up-to-date with cloud solutions (preferably AWS).

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.

Benefits

• Competitive salary package;
• Bonus;
• Meal allowance ("Flash Benefícios");
• Public transportation allowance*;
• Health plan;
• Dental plan (optional);
• Life insurance;
• Daycare subsidy;
• Subsidy to sports practicing (Wellhub).
• 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.