Azure Machine Learning Engineer | Location Intelligence Application


Machine Learning Engineer

About You:

  • You are passionate about solving real-world problems through data.

  • You care deeply about making scalable ML solutions directly accessible to end users.

  • You strive for excellence in everything that you do.

  • You want to work with a team that values humility, empathy, and transparency.

About SiteZeus:

  • SiteZeus is an automated location intelligence platform. Our customers have a physical presence, typically retail locations. They use SiteZeus to make better decisions about where to build their next location, and how to optimize their investment in existing locations.

  • Our product is a web-based SaaS offering — think Google Maps with rich data visualization and machine learning capabilities integrated in.

  • Our clients include some of the world's largest and most rapidly growing franchise brands.

  • SiteZeus currently has 30+ people, including 8 development/QA team members and 2 other data scientists.

  • We are based in Tampa, Florida. During COVID-19, we are 100% remote. We will remain mostly remote post COVID-19, and currently have multiple team members that live outside of the Tampa area.

  • SiteZeus offers a comprehensive compensation and benefits package, including competitive wages, equity opportunities after one year of employment, healthcare, 401(k), and unlimited vacation.

About The Role:

  • Core member of a small, energetic, and highly focused product development team.

  • Reports to the Chief Technology Officer.

  • Works as an individual contributor.


  • 6+ years of relevant work experience.

  • A proven track record of successful MLOps - building machine learning pipelines and deploying scalable models to production environments.

  • Proficiency implementing code for production-grade ML systems in Python or R; a demonstrated ability to write code that is modular, efficient, scalable, and maintainable.

  • Solid understanding of machine learning models, data analysis, and a variety of supervised and unsupervised learning methods.

  • Experience working with multi-terabyte scale datasets.

  • Excellent communication skills. You can distill complex topics down to their essence.

  • You want to create something new and help build a successful company.

  • A Bachelor's degree in Computer Science, Mathematics, Statistics, or another STEM field. Equivalent levels of on-the-job skills development or self- directed online coursework will be considered in lieu of a formal degree.

  • You are authorized to work in the U.S.

Strongly Preferred:

  • Experience building ML pipelines using cloud-based ML services, such as Azure Machine Learning SDK.

  • Experience building ML pipelines that integrate with products based on the Microsoft platform, including .NET, Azure, C#, PowerShell, and related tools.

  • Experience building models using deep learning tools.

  • Experience applying CNNs, RNNs, LSTMs, and related techniques to computer vision tasks.

  • Experience building models with geospatial data, mobile movement data, or street view/satellite imagery.

  • Masters or PhD in a related field.

Job Type: Full-time


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