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:
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
Own training, integration, deployment, versioning, and monitoring of AI 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
A Bachelors degree in Computer Science, or a related field
Substantial experience with statistics and data modeling
Solid understanding of computer science, coding principles and algorithms
Proficiency in programming languages such as Python, Go or Dart
Preferred++
Proficiency in SQL
Experience working with LLMs
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.)
Knowledge of time series analysis
Experience with designing, developing, and validating statistical models