Senior AI/ML Engineer

Job description

Responsibilities: Develop and optimize complex data pipelines, applying machine learning engineering principles to enhance efficiency and scalability. Integrate and optimize data and model pipelines within production environments, diagnosing data inconsistencies and documenting assumptions. Employ experimental methodologies, statistics, and machine learning concepts to create self-running AI systems for predictive modeling. Collaborate with data science teams to review model-ready datasets and feature documentation, ensuring completeness and accuracy. Perform data discovery and analysis of raw data sources, applying business context to meet model development needs. Comfort with exploratory data exploration and tracking data lineage during inception or root cause analysis. Engage with internal stakeholders to understand business processes and translate requirements into analytical approaches. Write and maintain model monitoring scripts, diagnosing issues and coordinating resolutions based on alerts. Serve as a domain expert in machine learning engineering on cross-functional teams for significant initiatives. Stay updated with the latest advancements in AI/ML and apply them to real-...