About the Role
TigerEye is an AI Analyst for everyone in go-to-market. We track the changes in a company’s business to deliver instant, accurate answers to complex questions through a simple app.
Here are a few of the things that you might do as an AI Engineer at TigerEye:
Design, develop, and validate statistical models to explain past behavior and to predict future behavior of our customers’ sales teams
Own training, integration, deployment, versioning, and monitoring of ML components
Improve TigerEye’s existing metrics collection and analysis techniques in order to expand the range of questions TigerEye is able to explore
Build a customizable heuristic system to surface actionable insights
Provide quantitative rationale to inform group decision-making processes
Design and build our ML infrastructure, including integration with customer data
Qualifications
Minimum
Substantial experience in programming languages such as Go, Dart, and Python and ability to write production level code
Substantial experience building with SQL
A degree in Computer Science, Statistics, Applied Mathematics, or a related field
Substantial experience with statistics and data modeling
Knowledge of statistical techniques to build predictive models
Knowledge of time series analysis
Solid understanding of computer science, coding principles and algorithms
Preferred
Experience with the full lifecycle of building a ML-powered product
Experience building and evaluating multi-agentic AI apps with OpenAI/LangChain APIs
Experience building ML infrastructure
Experience with data engineering and building an ETL pipeline
Experience with cloud computing services (AWS, GCP, etc.)
