Machine Learning Engineer
TigerEye
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