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The Director of Machine Learning Operations will lead the ML Ops team to develop, implement, and oversee machine learning strategies. Responsibilities include managing ML infrastructure, deploying models, ensuring performance and scalability, and collaborating with cross-functional teams to integrate ML solutions into the advertising technology platform.
Kargo is seeking a Senior Analytics Engineer to build data pipelines, optimize data architecture, and lead the implementation of dbt for data transformation. Responsibilities include collaborating with analysts, ensuring data quality, and mentoring junior engineers, all while supporting business needs with insights across teams.
As a Senior Data Engineer at Kargo, you will work with the Targeting and Audiences team to enhance data methodologies, create scalable processes for large datasets, and improve data targeting strategies. Responsibilities include maintaining data integrity, collaborating with product and data science teams, and building data pipelines for real-time bidding.
The Principal Data Scientist will optimize auction-based models at Kargo, collaborating with engineers and data scientists to enhance real-time bidding systems and drive revenue strategy. Responsibilities include developing optimization algorithms, ensuring system reliability, and fostering innovation in data science practices.
The Machine Learning Engineer will design, develop, deploy, and maintain machine learning models, collaborating with engineering and product teams to integrate these solutions into the advertising platform, and optimizing model performance over time.
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