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:

• 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