Job Location : New York,NY, USA
TO BE CONSIDERED FOR THIS ROLE, PLEASE SUBMIT AN UPDATED RESUME TRANSLATED TO ENGLISHWho 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). WHATS 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 dont 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 thinkingWHAT IS THE ROLE AND WHAT WILL YOU BE DOING? As a Staff MLOps Engineer, you lead the development and optimization of our machine-learning infrastructure with a focus on Python programming, Kubernetes, DevOps practices, and data engineering. You play a key role in developing and managing Large Language Model (LLM) applications while ensuring seamless deployment, monitoring, and performance across production environments. This position involves collaborating closely with data scientists and engineers to enhance model efficiency, scalability, and overall system architecture. 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 design, implementation, and maintenance of infrastructure for deploying, monitoring, and managing machine learning modelsDrive the development and deployment of LLM applications, ensuring efficient performance and integrationResearch and integrate emerging technologies in DevOps, Kubernetes, and data engineering into our infrastructureDevelop and automate end-to-end pipelines for data ingestion, preprocessing, feature engineering, model training, and deploymentCollaborate with data scientists and engineers to optimize model performance and scalabilityBuild and maintain CI/CD pipelines to streamline deployment processes and ensure consistencyManage Kubernetes clusters for scalable and efficient model deploymentDesign monitoring systems to track model performance and reliabilityOptimize resource utilization and system architecture using DevOps best practicesMentor junior team members and provide technical leadership 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) - Being a part of a global team that build a diverse culture in our companyWorking 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: ✅Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or equivalent work experience✅6+ years of experience in MLOps, DevOps, and data engineering with a strong focus on Python programming✅Extensive experience with Kubernetes for container orchestration✅Experience building and managing data pipelines and infrastructure with tools like Apache Airflow or similar✅Proficiency with cloud platforms such as AWS, GCP, or Azure, with AWS preferred And also, you get extra points for: ✔ Familiarity with Infrastructure as Code (IaC) tools like Terraform or Terragrunt✔ Experience in developing and managing LLM applications, with a focus on scalability and integration✔ Excellent communication skills, with the ability to collaborate across teams and mentor junior engineers✔ Ability to quickly learn and adapt to new technologies✔ Proactive problem-solving skills✔ Strong leadership and mentorship capabilities✔ Passion for scalability and efficient systems 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 Pros brand portfolio includes CONQUER, 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 25,000 businesses and have over 1,000 ambitious, mission-driven, genuinely fun-loving employees across the United States and all over the world. If you want to do work that impacts real people, supported by a team that will invest in you every step of the way, wed 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