Machine Learning Engineer

TigerEye is full stack, modern business intelligence built for go-to-market teams. We automate marketing, sales and finance reporting with live dashboards and conversational AI to deliver instant, accurate answers to complex questions about your business.

Here are a few of the things that you might do as AI/ML Engineer at TigerEye:

• Design, develop, and validate statistical models to explain past behavior and to predict future behavior of our customers’ go-to-market 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

• Develop AI agents (both standalone agents, as well as within the context of multi-agent architecture) from start to finish. This includes from product ideation, to agent/LLM orchestration to qualitative and quantitative evaluation 

Qualifications

Minimum

• A Graduate degree in Statistics, Applied Mathematics, or a related field/equivalent experience

• 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

• Proficiency in programming languages such as Go, Dart, and Python

Preferred++

• Proficiency in SQL

• Experience with the full lifecycle of building a ML-powered product

• Experience building ML infrastructure

• Experience with data engineering and building an ETL pipeline

• Experience with cloud computing services (AWS, GCP, etc.)

• Experience working with LLMs