Staff Machine Learning Operations Engineer - Brazil

Posted Yesterday
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Brazil
Senior level
Software
SaaS platform aimed at helping our homeservices professionals streamline and scale their businesses
The Role
As a Staff MLOps Engineer, you will design and optimize infrastructure for AI applications, focusing on scalable LLM solutions and collaborating with cross-functional teams to implement best practices.
Summary Generated by Built In

TO BE CONSIDERED FOR THIS ROLE, PLEASE SUBMIT AN UPDATED RESUME TRANSLATED TO ENGLISH

Who is Housecall Pro?  

Housecall Pro is a fintech company founded in 2013. We built a SaaS platform that helps Home Service Professionals operate their businesses. We created the application for plumbers, electricians, and other Pros in the home improvement/trades industries.

Housecall Pro is a simple, cloud-based field service management software platform aimed at helping companies keep track of jobs, monitor technician activity, and produce invoices easily.

Our core product helps our clients with scheduling, dispatching, job management, invoicing, payment processing, marketing, and more. They used to struggle with the ton of paperwork after their hours. Now they can save time, and manage their business in one app.

We support more than 27,000 businesses and have over 1,300 ambitious, mission-driven employees in San Diego, Denver, and all over the world (including 200+ talented and innovative Engineers).


🤜🤛  WHAT’S IN IT FOR YOU?:

  • 💻🌎Remote environment totally built to make you feel that we are all together in one space without leaving your home office!
  • 😎🏝Self Managed PTO - Beach? Mountains? Camping? Discovering new experiences? You are free to take time out as you need!
  • ⏰Flexible work hours - We believe that you can reach your professional and personal goals working with us and encourage you to have a work life balance!
  • A culture built on innovation that values big ideas - We are always open to new ideas that will improve the life of our Pros!
  • Work in your own time zone - Because we don’t think that you should miss those memorable moments with your friends and family!
  • Newest MacBook (or PC if you prefer!) + Setup Fee ($500) - What is an engineer without the right tools right? Here in HCP, you can choose your computer and  set up your home office!


We know what you are thinking…WHAT IS THE ROLE AND WHAT WILL YOU BE DOING? 👀

As a Staff MLOps Engineer, you are a hands-on technical expert focused on designing, developing, and optimizing infrastructure to support AI-driven applications powered by large language models (LLMs). You bring deep Python expertise and a strong foundation in DevOps, enabling you to craft scalable, high-performance systems for deploying and managing intelligent agents. You balance technical execution with cross-functional collaboration, mentor junior team members, and contribute to continuous innovation across our machine learning and infrastructure landscape.

Our team is passionate, empathetic, hard working, and above all else focused on improving the lives of our service professionals (our Pros). Our success is their success.


In your daily routine, you will: 

  • Lead the development of scalable LLM agent-based applications using Python and modern agent architecture patterns
  • Build, maintain, and optimize automated data pipelines for ingesting and transforming large-scale datasets
  • Design and manage CI/CD pipelines and container orchestration platforms such as Kubernetes for LLM workflows
  • Integrate Infrastructure as Code (IaC) tools like Terraform or Terragrunt to provision and manage cloud infrastructure
  • Collaborate with data scientists, engineers, and product teams to deploy and scale machine learning models
  • Evaluate and implement new technologies and practices to improve the performance and reliability of MLOps systems
  • Monitor and troubleshoot operational issues across the AI infrastructure stack
  • Document system designs, workflows, and engineering processes for cross-team visibility and collaboration
  • Contribute to internal knowledge sharing and guide junior engineers in best practices
  • Maintain a continuous improvement mindset by proposing optimizations to current tools and systems


🏆 You must be aware that joining Housecall Pro means: 

  • Building a product that really improves users’ lives (70k users, 4.6 rates at App Store) - let’s see what clients say about the product;
  • Being a part of a global team that build a diverse culture in our company
  • Working with more than 200 engineers highly qualified and engaged in improving the life of our Pros. 
  • Having a real impact on technical decisions without breaking through the corporate, glass ceiling;
  • Being in direct contact with the community of users, who are eager to share their feedback;
  • Rapidly growing teams that create a defined career path.


We think that this offer is for you if you:

  • 6+ years of experience in Python development, DevOps, or MLOps roles
  • Proven experience deploying large language models and AI applications into production environments
  • Deep proficiency with Kubernetes and containerized application development
  • Strong background in building and maintaining CI/CD pipelines for ML or data systems
  • Experience with cloud platforms (i.e. AWS, GCP, or Azure) and Infrastructure as Code tools (i.e. Terraform, Terragrunt)
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent work experience


🔝And also, you get extra points for:

  • ✔ Adaptability in fast-changing technical environments
  • ✔ Collaborative mindset with a passion for mentoring and knowledge sharing
  • ✔ Curiosity and drive to stay current with the latest in AI/ML and infrastructure trends
  • ✔ Strong communication skills and ability to influence cross-functional teams
  • ✔ Passion for scalable systems and elegant architecture


Okay, okay, you need something to pay the bills, right? 🤑

Our range of compensation starts at: 💵7000 USD dollars.💵


Come and join us in HCP!

Founded in 2013, Housecall Pro helps home service professionals (Pros) streamline every aspect of their business. With easy-to-use tools for scheduling, dispatching, payments, and more, Housecall Pro enables Pros to save time, grow profitably, and provide best-in-class service.

Housecall Pro’s brand portfolio includes Business Coaching by Housecall Pro, a business coaching solution for home services businesses. Our brands are united by a singular mission to champion our Pros to success.

We support more than 40,000 businesses and have over 1,800 ambitious, mission-driven, genuinely fun-loving teammates across the globe. If you want to do work that impacts real people, supported by a team that will invest in you every step of the way, we’d love to hear from you

Housecall Pro celebrates diversity and we are committed to creating an inclusive environment.  We are an equal opportunity employer and do not discriminate on the basis of gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law.

 #LI-Remote

Top Skills

AWS
Azure
Ci/Cd
GCP
Kubernetes
Python
Terraform
Terragrunt
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The Company
Denver, CO
210 Employees
Hybrid Workplace
Year Founded: 2013

What We Do

At Housecall Pro, we're committed to making the everyday lives of home services professionals better by providing solutions that support their paths to success. Our core SaaS software platform runs all aspects of a home services business, including scheduling, dispatching, job management, invoicing, payment processing, and marketing. Housecall Pro will be there to help these businesses that keep America’s homes working navigate the transition to technology adoption.

Why Work With Us

At Housecall, we do culture a little differently. We believe it's about creating a team that loves each other's company and respects each other's skill. It's about working alongside people who will challenge your boundaries one minute and grab tacos with with you the next (and who doesn't love tacos?).

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