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
• Tech Screening
• 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 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;
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