Director of Machine Learning Engineering at Incremental

Passionate about building end-to-end data solutions. Core Competencies: Data Engineering: Proficient in designing and implementing robust data pipelines, optimizing data storage and retrieval, and ensuring data quality and integrity. Data Science: Skilled in applying advanced statistical analysis, machine learning algorithms, and predictive modeling techniques to extract valuable insights and drive data-informed decision-making. Machine Learning Engineering: Experienced in developing scalable end-to-end machine learning systems, including data preprocessing, feature engineering, model training, and evaluation, to create production-ready solutions. MLOps: Knowledgeable in deploying and managing machine learning models in production environments, ensuring model monitoring, version control, and seamless integration with existing systems.