ML Engineer

Fetcherr is an AI-driven company specializing in deep learning, algorithmic trading, and large-scale data solutions. Our core technology, the Large Market Model (LMM), enables accurate demand forecasting and real-time, data-driven decision-making. Originally focused on the airline industry, Fetcherr is expanding its AI solutions across additional industries.

While our initial focus has been the airline industry, Fetcherr is rapidly expanding its impact across a variety of sectors with scalable, AI-powered solutions that drive efficiency and profitability.

We are seeking a detail-oriented and collaborative Senior ML Engineer to help support and maintain our machine learning capabilities. This role is ideal for someone who enjoys working closely with production systems, ensuring reliability, scalability, and explainability of models while enabling research teams to deliver impact faster.

Responsibilities:

• Collaborate with cross-functional teams to ensure ML systems remain robust, explainable, and aligned with business needs.
• Monitor and report on ML model performance, reliability, and explainability metrics.
• Participate in model retraining procedures, implement automation and optimization of MLOps pipelines.
• Extend and scale monitoring pipelines, including support for new features in development.
• Investigate, troubleshoot, and resolve issues in production ML workflows (tiered support from initial triage to root-cause analysis with model owners).
• Develop and maintain repositories for feature engineering, inference monitoring pipelines, and artifact monitoring tools.
• Perform exploratory data analysis (EDA) on historical datasets to identify quality issues and maintain data health.
• Implement and oversee production based adjusters across customer deployments.
• Evaluate and track critical ML artifacts such as explainability files, coverage metrics, and alignment of features.
• Support development and maintenance of internal tools (e.g., interfaces, registries, and feature monitoring frameworks).
• Build and maintain static and temporal features, including seasonality, event-based, and price-related features.