Grupo | Sr Machine Learning Engineer

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:

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.

Hiring Process Stages
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
• 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.

Requirements
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 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 to ensure our emails are not sent to spam.

Benefits

• Competitive salary
• Profit sharing
• Meal allowance
• Health insurance
• Dental plan
• Life insurance
• Childcare subsidy and Atypical Parenthood subsidy
• Wellhub
• 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
• Reading kit for children – PlayKids

Diversity & Inclusion at Grupo QuintoAndar
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, it 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.

Privacy and Data Protection
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.