AI Engineer

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.)