Senior Machine Learning Engineer

Summary

Join QuintoAndar, the largest real estate ecosystem in Latin America, as a Machine Learning Engineer. Combine software engineering and data science to build production-ready machine learning models. Integrate engineering services and systems with ML services, and develop frameworks and platforms for building, deploying, serving, and monitoring ML-based services. Collaborate with other engineers and data scientists throughout the modeling pipeline, ensuring the health and quality of ML services. Contribute to scaling ML solutions and participate in problem contextualization, solution scoping, and product development. Manage technical debt and bridge dependencies between ML and non-ML services. The role offers a remote-first model, working from anywhere in Brazil. QuintoAndar provides a competitive salary and benefits package.

Requirements

• 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

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 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

Preferred Qualifications

• 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)

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 (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