GRUPO QUINTOANDAR | MACHINE LEARNING ENGINEER

About QuintoAndar.
QuintoAndar was born to do something very rewarding.
open doors.
We opened doors for technology to be part of living.
And, through it, we simplify and reduce the bureaucracy of the experience of those looking for a new home.
Thus, we became the most valuable proptech in Latin America, leading the real estate market in around six countries and more than 75 cities around the globe.
The first steps in the international market have been taken since we acquired Grupo Navent, which is ranked number 1 in Mexico (Inmuebles24), Argentina (Zonaprop), Peru (Adondevivir & Urbania) and Ecuador (Plusvalia) - among others.
And most recently, we launched Benvi, our international brand in Mexico, which comes with our residential rental product and service.
We offer an end-to-end ecosystem to make life easier for those looking to rent or buy a home, sell a property and unlock a transaction.
Think of zero paper or bureaucracy.
everything happens on a single platform, with transparency and speed alongside incredible human support.
We are currently valued at over $5.
billion (August ) and continue to grow 4x year over year, breaking records.
To make all this happen, we have more than talented people, 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.
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://quintoandar.
roup/en/.
About working at QuintoAndar.
Possibility of learning; Opportunity to work in a team that seeks to use the best practices and tools in the market; Work in an informal environment with a horizontal structure; Being part of a team working on a high-impact project that affects the lives of thousands of people.
Location & Remote Work Our technology team works on the \"remote-first\" model, which means we are working from home with the possibility of living anywhere in Brazil.
We also have the option of using QuintoAndar's offices in São Paulo and Campinas or using partner coworking spaces, both up to twice a week.
Stages of the Selection Process Our selection process currently lasts an average of days, from application to completion of the assessment.
Going through.
Application Phone interview with Recruiters Interviews with Data Team Reference Check Offer Responsabilities of a Machine Learning at Grupo QuintoAndar.
Combine Software Engineering and Data Science disciplines to create production-ready Machine Learning models; Integrate other engineering services and systems (generally services written in java) with our ML services; Develop frameworks and platform to build, deploy, serve and monitor ML-based services; Collaborate with Software Engineers, Data Scientists, Data Engineers and Data Analysts 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; \n What we are looking for.
Solid software engineering skills; Strong background in Machine Learning Understanding of requirements and challenges for machine learning services; Understanding of a modeling pipeline; Good cloud-based infrastructure skills; Experience developing RESTful APIs; Passion about tough technical challenges; Humility, curiosity and avid interest in learning; Ability to handle with changes in a fast-paced environment; Good communication and teamwork skills; Orientation to business value.
You’ll stand out if you have.
Experience productionizing ML models; Strong python skills; It will be a plus if you have some Java experience Experience with Spark; Experience with MLOps tools and libraries (Ex.
MLflow, Kubeflow, AWS SageMaker, Google AI Platform, etc); Experience in the Real Estate market.
MSc.
or PhD in Computer Science, Engineering, Statistics, or other relevant technical fields.
\n Competitive salary package; Bonus Meal allowance (\"ticket refeição and/or ticket alimentação\"); 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; Free bike rack in our parking lot.
Diversity & Inclusion at QuintoAndar At QuintoAndar, we believe diversity of perspectives and experiences guarantee a differentiated work environment, based on respect and valuing differences.
Feel free to declare the information on the registration form.
If you are not comfortable answering them, just choose the option \"I prefer not to respond\".
This information helps us create an increasingly inclusive environment and it is used only for this purpose, it is confidential, and it will not impact your performance throughout the hiring process All of our job positions are open to people with or without disabilities.
If you are a PWD and have not found any opportunities of your interest, register your resume in our talent pool, by clicking here..
Data Protection Policy The data entered in the selection process form is confidential and stored in a secure environment.
We take appropriate technical and administrative measures to protect your data.
To exercise your rights over your personal data, such as access to data, treatment confirmation, data correction, anonymization, blocking or deletion, and other rights with QuintoAndar, contact us at quin.
o/mensagem.
To learn more about how we treat personal data at QuintoAndar access our Privacy Policy.