Machine Learning Operations Engineer II at Housecall Pro

Brazil

Why Housecall Pro? Help us build solutions that build better lives. At Housecall Pro, we show up to work every day to make a difference for real people: the home service professionals that support America’s 100 million homes. We’re all about the Pro, and dedicate our days to helping them streamline operations, scale their businesses, and—ultimately—save time so they can be with their families and live well. While our headquarters are based in Denver, Colorado, our team spans the globe, with teammates across Brazil, Poland, the Philippines, Mexico, and beyond. We care deeply about our customers and foster a culture where our company, people and Pros grow and succeed together—no matter where they’re based. Leadership is as focused on growing team members’ careers as they expect their teams to be on creating solutions for Pros. We also offer: TO BE CONSIDERED FOR THIS ROLE, PLEASE SUBMIT AN UPDATED RESUME TRANSLATED TO ENGLISH Why Housecall Pro? Help us build solutions that build better lives. At Housecall Pro, we show up to work every day to make a difference for real people: the home service professionals that support America’s 100 million homes. We’re all about the Pro, and dedicate our days to helping them streamline operations, scale their businesses, and—ultimately—save time so they can be with their families and live well. We care deeply about our customers and foster a culture where our company, employees, and Pros grow and succeed together. Leadership is as focused on growing team members’ careers as they expect their teams to be on creating solutions for Pros. 🤜🤛 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! 💻 MacBook (or PC if you prefer!) + Setup Fee ($500): What is remote work without the right tools? Here at HCP, you can choose your computer and set up your home office! We know what you are thinking…WHAT IS THE ROLE AND WHAT WOULD YOU BE DOING? 👀 As a Machine Learning Operations Engineer II, you are a foundational builder who bridges the gap between complex machine learning development and robust core engineering infrastructure. You partner closely with data scientists, product engineers, and infrastructure teams to deploy, monitor, and scale machine learning solutions in production. You are deeply passionate about automation, system reliability, and scaling pipelines that turn raw code into highly available product features. You balance a technical engineering mindset with an operational focus to maximize the reliability of our production systems. 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 day to day, you will: Implement robust infrastructure for deploying, monitoring, and managing machine learning models in live production environments Build automated, end-to-end machine learning pipelines focusing on feature engineering, model deployment, and continuous evaluation Collaborate with data scientists and product engineering teams to operationalize complex models and elevate production readiness Develop sustainable continuous integration and continuous deployment pipelines to support reproducible model release workflows Establish comprehensive monitoring, logging, and alerting solutions to ensure peak model performance and system health Support the continuous optimization of system architecture to improve scalability, uptime, and infrastructure cost efficiency Evaluate emerging technologies and operational best practices to integrate meaningful upgrades into the team's engineering stack Document architectural standards, technical processes, and operational procedures to promote cross-team knowledge sharing We think this role is for you if have... 3+ years of professional experience in MLOps, Data Engineering, or core infrastructure software roles Demonstrated proficiency in backend programming languages with a strong emphasis on Python Hands-on experience deploying, monitoring, and supporting machine learning models within distributed environments Proven understanding of workflow orchestration systems (i.e. Apache Airflow) Solid understanding of distributed batch or streaming data tools (i.e. Kafka, Spark) Experience implementing automated continuous integration and continuous deployment software delivery workflows Demonstrated ability to leverage AI tools to improve workflows, streamline execution, or enhance outputs Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent work experience What will help you succeed??? Exceptional breadth of interest shown through tangible, self-initiated ventures or deep community involvement; you love trying new things and possess a demonstrated history of successfully pivoting or starting over in life and work Strong communication and collaboration skills when working across cross-functional engineering pods A proactive mindset dedicated to automation and eliminating manual operational engineering bottlenecks High attention to detail when debugging shared infrastructure and pipeline exceptions ✨ Let’s talk numbers! ✨ Our compensation range for this role begins at $4500 USD per month 💵 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). #LI-Remote Privacy Notice for California Job Candidates - Housecall Pro Use of Artificial Intelligence in Hiring and Engagement Processes We may use artificial intelligence (AI)-powered tools to support the review and evaluation of employment and independent contractor applications, including screening and qualification assessments. All final hiring and engagement decisions are made by human representatives, not AI tools. 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 50,000 businesses and have over 2,000 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