Remote Machine Learning Engineer

Description:

• TigerEye is a full stack, modern business intelligence platform designed for go-to-market teams.
• The role involves designing, developing, and validating statistical models to explain past behavior and predict future behavior of customers’ go-to-market teams.
• The AI/ML Engineer will own the training, integration, deployment, versioning, and monitoring of machine learning components.
• The position requires improving existing metrics collection and analysis techniques to expand the range of questions TigerEye can explore.
• The engineer will build a customizable heuristic system to surface actionable insights.
• Providing quantitative rationale to inform group decision-making processes is a key responsibility.
• The role includes designing and building ML infrastructure, including integration with customer data.
• The engineer will develop AI agents from start to finish, including product ideation, agent/LLM orchestration, and qualitative and quantitative evaluation.

Requirements:

• A Graduate degree in Statistics, Applied Mathematics, or a related field, or equivalent experience is required.
• Substantial experience with statistics and data modeling is necessary.
• Knowledge of statistical techniques to build predictive models is essential.
• Familiarity with time series analysis is required.
• A solid understanding of computer science, coding principles, and algorithms is necessary.
• Proficiency in programming languages such as Go, Dart, and Python is required.

Benefits:

• The job offers the opportunity to work in a dynamic and innovative environment focused on business intelligence.
• Employees will have the chance to contribute to the development of cutting-edge AI and machine learning technologies.
• The role provides opportunities for professional growth and development in the field of machine learning and data science.
• Employees will be part of a collaborative team that values input and fosters decision-making based on quantitative analysis.