TigerEye is seeking a Machine Learning Engineer to join their team remotely in the US.
The role involves designing, developing, and validating statistical models to explain past behavior and predict future behavior of customers’ go-to-market teams.
The engineer will own the training, integration, deployment, versioning, and monitoring of machine learning components.
Responsibilities include improving existing metrics collection and analysis techniques to expand the range of questions TigerEye can explore.
The engineer will build a customizable heuristic system to surface actionable insights and provide quantitative rationale to inform group decision-making processes.
The role also includes designing and building ML infrastructure, including integration with customer data.
Additionally, the engineer will develop AI agents from start to finish, including product ideation, agent/LLM orchestration, and qualitative and quantitative evaluation.
Requirements:
A Graduate degree in Statistics, Applied Mathematics, or a related field, or equivalent experience is required.
Candidates must have substantial experience with statistics and data modeling.
Knowledge of statistical techniques to build predictive models is essential.
Familiarity with time series analysis is required.
A solid understanding of computer science, coding principles, and algorithms is necessary.
Proficiency in programming languages such as Go, Dart, and Python is required.
Preferred qualifications include proficiency in SQL and experience with the full lifecycle of building a machine learning-powered product.
Experience in building ML infrastructure, data engineering, and building an ETL pipeline is preferred.
Familiarity with cloud computing services such as AWS or GCP is advantageous.
Experience working with large language models (LLMs) is also preferred.
Benefits:
The position offers a full-time employment opportunity with a remote work option.
Employees will have the chance to work in a modern business intelligence environment focused on automation and AI.
The role provides opportunities for professional growth and development in the field of machine learning and AI.
Employees will be part of a team that values innovation and collaboration in solving complex business questions.
