Remote Machine Learning Engineer

Description:

• SiteZeus is hiring a Senior Machine Learning Engineer to join their growing product team.
• The ideal candidate should have a strong background in Azure, scalable Machine Learning solutions, and the Microsoft suite of application development.
• SiteZeus aims to empower multi-unit and service-based brands with advanced analytics and on-demand insights to improve site performance.
• The company has developed several products, including SiteZeus Locate for site selection, SiteZeus Market for customer segmentation, and SiteZeus Sell and Build for lifecycle software solutions.
• Responsibilities include designing and developing machine learning systems, participating in agile ceremonies, transforming raw data into production-ready systems, researching and implementing machine learning algorithms, creating and monitoring MLOps pipelines, running experiments for solution improvement, and providing customer support.

Requirements:

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

Benefits:

• Employees enjoy unlimited PTO, which the company encourages them to use.
• Flexible work hours are offered to accommodate personal schedules.
• A comprehensive benefits package includes a 401(k), health, vision, and dental insurance for U.S.-based employees.
• Paid parental leave is provided.
• Employees receive paid monthly community service time.
• Paid company summits are organized for team bonding and collaboration.