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.
