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Staff Machine Learning Operations Engineer - Brazil

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).

 

šŸ¤œšŸ¤›  WHAT’S IN IT FOR YOU?:

  • šŸ’»šŸŒŽRemote environment totally built to make you feel that we are all together in one space without leaving your home office!
  • šŸ˜ŽšŸSelf Managed PTO - Beach? Mountains? Camping? Discovering new experiences? You are free to take time out as you need!
  • ā°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? šŸ‘€

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

 

šŸ† 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:

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

 

šŸ”And also, you get extra points for:

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

 

Okay, okay, you need something to pay the bills, right? šŸ¤‘

Our range of compensation starts at: šŸ’µ7000 USD dollars.šŸ’µ

 

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

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CEO of Housecall Pro
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Michael Beaudoin
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What You Should Know About Staff Machine Learning Operations Engineer - Brazil, Housecall Pro

As a Staff Machine Learning Operations Engineer at Housecall Pro in Brazil, you will be diving into a role that combines your technical expertise with the thrill of innovation. This fintech company, founded in 2013, is all about providing an exceptional SaaS platform for Home Service Professionals like plumbers and electricians. Your mission will revolve around designing, developing, and optimizing infrastructure to support AI applications powered by large language models. With a focus on Python and DevOps, you'll work hands-on to build scalable systems that empower small businesses to run smoothly. You’ll lead the development of LLM-based applications while collaborating with fellow engineers and product teams to ensure smooth deployments. Plus, you’ll have a chance to mentor junior engineers and contribute to a culture that values creativity and big ideas. Here at Housecall Pro, we believe in a flexible work environment that encourages you to balance your personal and professional life. Whether you're at home in Brazil or touch points around the globe, you will have the tools and support needed to excel. From automated data pipelines to cutting-edge CI/CD frameworks, every day will bring new challenges that require both innovation and collaboration. Get ready to make a real impact on the lives of Service Professionals and join a team focused on success – because when they succeed, so do we. If you’ve got the experience and passion for mentoring and collaborative growth, we can't wait for you to join us!

Frequently Asked Questions (FAQs) for Staff Machine Learning Operations Engineer - Brazil Role at Housecall Pro
What are the responsibilities of a Staff Machine Learning Operations Engineer at Housecall Pro?

As a Staff Machine Learning Operations Engineer at Housecall Pro, you'll lead the development of scalable LLM agent-based applications, optimize automated data pipelines, and manage CI/CD pipelines. Your role involves collaborating with cross-functional teams, integrating Infrastructure as Code tools, and continuously evaluating new technologies to improve our MLOps systems, making a direct impact on the services we provide to our Pros.

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What qualifications do I need to apply for the Staff Machine Learning Operations Engineer role at Housecall Pro?

To be a successful candidate for the Staff Machine Learning Operations Engineer position at Housecall Pro, you should possess at least 6 years of experience in Python development, DevOps, or MLOps, demonstrate proficiency with Kubernetes, and have a solid background in building CI/CD pipelines. Additionally, having a bachelor’s or master’s degree in Computer Science or related fields will enhance your application.

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How does Housecall Pro support its Staff Machine Learning Operations Engineers?

Housecall Pro fosters a vibrant work culture for its Staff Machine Learning Operations Engineers through remote environments, flexible working hours, and self-managed PTO. The company promotes personal goals alongside professional development, encouraging the use of the newest tools and systems to ensure engineers can perform at their best while feeling a strong sense of community.

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What technologies will I work with as a Staff Machine Learning Operations Engineer at Housecall Pro?

In the Staff Machine Learning Operations Engineer role at Housecall Pro, you will work extensively with Python, Kubernetes for container orchestration, cloud platforms like AWS or GCP, and Infrastructure as Code tools such as Terraform. You'll be developing LLM agent applications, building data pipelines, and implementing CI/CD processes vital for machine learning workflows.

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What is the work culture like at Housecall Pro for the Staff Machine Learning Operations Engineer?

The work culture at Housecall Pro is centered around innovation and collaboration. As a Staff Machine Learning Operations Engineer, you'll join a diverse, supportive team where ideas are welcomed, and growth is encouraged. The company emphasizes work-life balance and strives for an inclusive environment where every team member's contributions are valued.

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Common Interview Questions for Staff Machine Learning Operations Engineer - Brazil
Can you explain your experience with deploying large language models?

When answering this question, highlight specific projects or experiences where you deployed large language models, discussing the technologies used, methodologies, and any challenges you overcame. Emphasizing your hands-on experience will demonstrate your capability and understanding of the complexities involved.

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What is your process for designing and implementing CI/CD pipelines?

Discuss your structured approach to designing CI/CD pipelines by detailing the stages you include, how you automate testing and deployments, and the tools you prefer. Highlighting your experience with pipelines in an MLOps context will illustrate your effectiveness in ensuring efficient deployments.

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How do you manage and troubleshoot operational issues in AI infrastructure?

To respond effectively, you should mention specific strategies for monitoring system performance, tools you use for troubleshooting, and examples of past issues you've resolved. Highlighting a systematic approach shows your analytical skills and ability to maintain operational efficiency.

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What experience do you have with Python in MLOps roles?

Here, you should provide concrete examples of how you've utilized Python for MLOps tasks, like developing APIs, automating data processing, or building models. Share any specific frameworks or libraries you’ve worked with to demonstrate your technical proficiency.

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How do you stay updated on emerging trends in machine learning and infrastructure?

Discuss your approach to continuous learning, such as following industry blogs, attending webinars, or participating in community discussions. Mention any relevant certifications or courses you have completed to show your commitment to professional development.

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Describe a time when you had to mentor a junior engineer. What was the outcome?

Share a specific example where you provided guidance and support to a junior engineer. Discuss the strategies you employed to facilitate their learning and the resulting impact on their performance, showcasing your leadership and communication skills.

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What is your experience with container orchestration platforms like Kubernetes?

Discuss your hands-on experience with Kubernetes, detailing specific projects where you deployed applications. Highlight your understanding of Kubernetes architecture and the benefits it brings to MLOps, emphasizing how you utilized its features for effectively managing workloads.

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Explain the role of Infrastructure as Code (IaC) in your workflow.

Answer by defining IaC and explaining how it enhances the reliability and reproducibility of infrastructure management. Share experiences where you implemented IaC tools like Terraform, emphasizing the benefits you observed in your projects.

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How do you approach collaboration with cross-functional teams in your work?

Illustrate your collaborative approach by giving examples of how you engaged with data scientists or product teams. Highlight communication strategies and how effective collaboration led to successful project outcomes, demonstrating your teamwork capabilities.

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What do you believe is the most important aspect of MLOps?

Provide your insight into MLOps, focusing on critical elements like automation, collaboration, and monitoring. Share personal beliefs and experiences that shape your understanding, reinforcing how those principles influence your work philosophy.

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Our vision is to revolutionize the home services experience. Our mission is to unlock the potential of every Pro. Our philosophy We believe in open doors. Building relationships, creating opportunities, driving growth and constantly innovating. ...

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Full-time, remote
DATE POSTED
April 4, 2025

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