Remote Machine Learning Engineer, Senior

Summary

Join a team of talented professionals 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.

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, NLP and chatbots
• Experience working on a ML Platform team
• Experience with Spark
• Experience in the Real Estate market

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