Grupo QuintoAndar | Sr Machine Learning Engineer - BR

Grupo QuintoAndar | Sr Machine Learning Engineer - BR

Location & Remote Work: remote-first in Brazil. You can live anywhere in Brazil. We also offer the option of working from our São Paulo offices up to twice a week.

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.

ML 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.

Machine Learning Engineer Responsibilities

• 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 modeling pipeline
• Foster best practices for infrastructure and coding regarding ML requirements
• Contribute to vision and architecture to scale ML solutions at QuintoAndar's business
• Participate in problem contextualization, solution scope, product discovery, design and implementation of ML-based products

Requirements

• 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 and libraries (MLflow, Kubeflow, AWS SageMaker, Google AI Platform, etc)
• Experience developing RESTful APIs
• Good communication and teamwork skills
• Orientation to business value

You will stand out if you have MSc or PhD, experience with Deep Learning, LLMs, Spark, startup experience, or Java experience.