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Machine Learning Engineer

TigerEye

TigerEye

Software Engineering
United States · Remote
Posted on Monday, July 1, 2024

About the Role

TigerEye helps businesses make better strategic decisions. This requires analyzing significant data over time. Here are a few of the things that you might do as a Machine Learning 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 backend 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 Graduate degree in 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

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

Preferred

  • Proficiency in SQL

  • Experience with data engineering and building an ETL pipeline

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