Machine Learning Engineer

SiteZeus is hiring a Machine Learning Engineer to join our growing product team! Our ideal candidate has a strong background in Azure, scalable Machine Learning solutions, and the Microsoft suite of application development. At SiteZeus, our team members are exceptional in the pursuit of their crafts. We value boldness in our approach and working together to find quick ways to solve complex challenges.
SiteZeus is the leading end-to-end solution to driving revenue growth. Our goal is to empower multi-unit and service-based brands with advanced analytics and on-demand insights, enabling them to efficiently open and operate better-performing sites. Since our establishment in 2013, we have assisted brands with site selection and portfolio optimization through our revolutionary location intelligence platform, SiteZeus Locate. In line with our commitment to constant improvement, we launched SiteZeus Market in 2022, our customer segmentation solution. To solidify ourself as a complete lifecycle software provider, we introduced SiteZeus Sell and Build in 2023.
Through our four user-friendly products, we are able to supply every team in an organization with a comprehensive range of tools to drive franchise sales, facilitate market planning, support development, enhance marketing efforts, and streamline operations.
Expected Salary Range: $90,000 - $105,000 per year
Responsibilities & Duties

• Design and develop machine learning systems.
• Participate in agile ceremonies.
• Transform raw data science outputs into scalable, production-ready systems.
• Research and implement machine learning algorithms and tool-sets.
• Create, maintain, and monitor MLOps build & deployment pipelines.
• Run experiments to continuously improve solutions.
• Extend existing libraries and frameworks.
• Implement statistical methods to use for Predictive Analytics.
• Assist in data science research efforts.
• Enhance data collection procedures to build analytic systems.
• Perform ad-hoc analysis and present results in a clear manner.
• Make suggestions consistent with our theme of continual process improvement.
• Provide necessary customer support when asked by providing requested data analysis and resolving issues within the SZ platform.

Qualifications and Skills

• A bachelor’s degree in computer science, software engineering, mathematics, statistics, data science, physics, or a related field.
• 2+ years prior experience as a machine learning engineer.
• Expertise with Python.
• Experience building and maintaining Docker containers.
• A strong grasp of fundamental data science concepts.
• Comfortable using NumPy and Pandas.
• Experience with at least one popular deep learning library.
• Experience with DevOps or MLOps.
• Experience with Azure, GCP, or AWS.
• Experience maintaining machine learning models in a production environment.

Nice-to-Haves

• A master’s degree in a related field.
• Experience with big data.
• Kubernetes familiarity.
• Azure knowledge.
• Familiarity with geospatial data analytics.

This is a Remote (work from home) position.