Staff Mlops Engineer

hace 4 meses

Buenos Aires, Argentina Housecall Pro A tiempo completo

**_TO BE CONSIDERED FOR THIS ROLE, PLEASE SUBMIT AN UPDATED RESUME TRANSLATED TO ENGLISH_**

**Who is Housecall Pro?**:

- 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?**

We're in search of a talented Staff MLOps Engineer to join our team. This role is pivotal in spearheading the development and maintenance of our machine-learning infrastructure and processes. If you're passionate about optimizing machine learning systems for scalability, reliability, and efficiency, and have a strong background in data engineering and DevOps, we want to hear from you.

**_ In your daily routine, you will:_**
- Lead the design, implementation, and maintenance of a robust infrastructure for deploying, monitoring, and managing machine learning models in production environments.
- Develop and automate end-to-end pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment.
- Collaborate closely with data scientists to understand model requirements and optimize model performance for production use.
- Establish and maintain CI/CD pipelines to streamline the deployment process and ensure reproducibility.
- Design and implement monitoring and alerting systems to track model performance and health, and proactively identify and address issues.
- Optimize system architecture and resource utilization to ensure scalability, reliability, and cost-effectiveness.
- Stay abreast of industry best practices and emerging technologies in MLOps, data engineering, and DevOps, and integrate them into our processes and infrastructure.
- Provide technical leadership and mentorship to junior team members, and drive innovation and continuous improvement across the organization.

**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**:

- **Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
- **6+ years of experience in MLOps, data engineering, and/or DevOps roles.
- **Proficiency in programming languages such as Python, Java, Scala, or Ruby, we work with Python primarily.
- **Experience working with large language models (LLMs) and LangChain, or similar tools, a plus.
- **Extensive experience with cloud platforms such as AWS, Azure, or GCP, and proficiency in using cloud services for storage, compute, and orchestration.
- **Strong understanding of containerization and orchestration technologies such as Docker, and Kubernetes.
- **Experience with infrastructure as code (IaC) tools such as Terraform, or Terragrunt.
- **Solid background in designing and optimizing data pipelines using technologies like Apache Airflow, or similar.
- **Exceptional analytical and problem-solving skills, with a proactive approach to identifying and resolving issues.
- **Excellent communication and collabor

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