Grupo QuintoAndar | Tech Lead Manager (MLOps)

Grupo QuintoAndar; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading real estate technology firm in Brazil is seeking an MLOps Tech Lead Manager. In this role, you will oversee a team of engineers, ensuring the deployment and monitoring of machine learning systems is optimized for performance. You are expected to promote best engineering practices, automate workflows, and lead the team’s growth. Ideal candidates have a background in computer science or a related field, strong communication skills, and a passion for continuous learning in ML technologies.

Serviços

Opportunity for career growth

Work from home options

Collaboration with top professionals

Qualificações

• Proven experience leading teams and managing careers.
• General understanding of machine learning concepts.
• Good understanding of engineering challenges in ML deployment.
• Proficiency in Python or another major programming language.
• Excellent written and verbal communication skills.
• Ability to guide product long-term roadmap.
• Up-to-date with recent advances in Machine Learning Engineering.

Responsabilidades

• Oversee a team of Machine Learning Engineers.
• Work closely with Data Science team on ML requirements.
• Ensure smooth deployment and performance of models.
• Promote best practices in infrastructure and coding.
• Automate workflows and streamline pipelines.
• Lead teams and manage the growth of members.

Conhecimentos

Leadership Experience

ML Knowledge

Engineering Excellence

Technical Proficiency

Technical Communication

Product-Minded

Continuous Learning

Formação académica

MSc. in Computer Science, Engineering, Statistics or related field

Ferramentas

Kubeflow

MLflow

AWS SageMaker

Google AI Platform

Databricks

Descrição da oferta de emprego

Grupo QuintoAndar | Tech Lead Manager (MLOps)

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 the following steps:

• Application
• Interview with Recruiter
• Interviews with Data&AI Team
• Offer

About the MLOps Tech Lead Manager Role

At QuintoAndar, we’re reimagining industries through cutting‑edge AI and machine learning solutions. Our projects span areas like intelligent search, personalized recommendations, customer experience powered by large language models (LLMs), credit modeling, and house pricing and liquidity prediction. As we continue to scale, we’re looking for a MLOps Tech Lead Manager to lead the efforts in streamlining the development, deployment, and monitoring of our machine learning systems. You’ll work on high‑impact projects that influence millions of users, leveraging state‑of‑the‑art AI technology. We offer a fast‑paced, dynamic environment with ample opportunities for career growth, learning, and collaboration. For this role, we expect hands‑on contribution, being a mix of technical work and leadership and management.

Interested in our investment in Generative AI to boost Data Scientist productivity? Our recent blog post delves into this, offering insights into our ML monorepo and the development experience we are building around it.

MLOps Tech Lead Manager Responsibilities at QuintoAndar

Lead the MLOps Squad: Oversee a team of Machine Learning Engineers focused on building and maintaining our ML Platform, balancing long‑term vision with high‑impact delivery;

Collaborate with Data Science and AI Leaders: Work closely with the Data Science team to deliver on ML platform requirements, ensuring seamless integration between models and production;

Optimize Model Deployment & Monitoring: Ensure smooth deployment and ongoing performance, implementing best practices for scaling and addressing model drift;

Foster Best Practices: Lead by example in promoting infrastructure and coding standards that align with machine learning requirements;

Drive Automation & Efficiency: Automate workflows, integrate new tools, and streamline pipelines to support fast iteration and continuous delivery;

Manage Careers: Responsible for leading teams and managing the growth of team members.

What we are looking for

Leadership Experience:> Proven experience leading teams and managing careers;

ML Knowledge: General understanding of machine learning concepts (regression, classification, clustering, neural networks, bias‑variance tradeoff, etc);

Engineering Excellence: Good understanding of the engineering challenges of deploying ML systems to production and solid software/data engineering best practices;

Technical Proficiency: Proficiency in Python or another major programming language and experience with cloud‑based services;

Technical Communication: Excellent written and verbal communication skills;

Product‑Minded: Someone who can help guide QuintoAndar's Machine Learning Platform long‑term roadmap;

Continuous Learning: Someone up-to-date with recent advances in Machine Learning Engineering and willing to share knowledge.

You’ll stand out if you have

MSc. (or Undergrad + intense experience) in Computer Science, Engineering, Statistics, Economics or other relevant technical field;

Previous experience building machine learning platforms;

Experience working with large monorepos;

Expertise with MLOps tools and libraries (Ex: Kubeflow, MLflow, AWS SageMaker, Google AI Platform, Databricks, etc);

Up-to-date knowledge of cloud solutions (preferably AWS).

Important

Our hiring process starts with the application! If you genuinely want to be part of our team, please complete this step of the process. We analyze all candidates individually and provide feedback to all applicants.

All communication will be conducted via email, so please stay tuned for our messages and release the domain @quintoandar.com.br to ensure our emails are not sent to spam.

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