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About the role
Role Overview: As a Palantir AI Engineer, you will be responsible for utilizing your expertise in AI/ML, Palantir Foundry, and PySpark to build scalable data pipelines, deploy machine learning models, and leverage Palantir platforms to deliver data-driven insights. Your contributions will play a crucial role in translating business requirements into AI solutions and enhancing existing data/AI solutions. Key Responsibilities: - Design and develop data pipelines using PySpark and Palantir Foundry - Build, train, and deploy machine learning models for business use cases - Work on data integration, transformation, and large-scale data processing - Collaborate with stakeholders to translate business requirements into AI solutions - Develop dashboards, workflows, and applications within Palantir Foundry - Ensure data quality, governance, and performance optimization - Troubleshoot and enhance existing data/AI solutions Qualification Required: - Hands-on experience with Palantir Foundry / Palantir platforms - Strong proficiency in PySpark and Python - Solid understanding of Machine Learning (supervised/unsupervised models) - Experience with data engineering, ETL pipelines, and big data processing - Knowledge of SQL and data modeling Additional Company Details: N/A Role Overview: As a Palantir AI Engineer, you will be responsible for utilizing your expertise in AI/ML, Palantir Foundry, and PySpark to build scalable data pipelines, deploy machine learning models, and leverage Palantir platforms to deliver data-driven insights. Your contributions will play a crucial role in translating business requirements into AI solutions and enhancing existing data/AI solutions. Key Responsibilities: - Design and develop data pipelines using PySpark and Palantir Foundry - Build, train, and deploy machine learning models for business use cases - Work on data integration, transformation, and large-scale data processing - Collaborate with stakeholders to translate business requirements into AI solutions - Develop dashboards, workflows, and applications within Palantir Foundry - Ensure data quality, governance, and performance optimization - Troubleshoot and enhance existing data/AI solutions Qualification Required: - Hands-on experience with Palantir Foundry / Palantir platforms - Strong proficiency in PySpark and Python - Solid understanding of Machine Learning (supervised/unsupervised models) - Experience with data engineering, ETL pipelines, and big data processing - Knowledge of SQL and data modeling Additional Company Details: N/A
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