Palantir AI

Job description

Strong hands-on experience in Exploratory Data Analysis (EDA) and Root Cause Analysis (RCA)

Expertise in Machine Learning techniques

classification, regression, clustering, and time-series forecasting

• Proficiency in Python, SQL and PySpark Experience with ML libraries such as Scikit-learn, XGBoost, TensorFlow, or PyTorch
• Solid foundation in statistics, probability, hypothesis testing, and experimental design Deep hands-on experience with Palantir Foundry (Pipelines, Code Repos, Ontology, Workshop, Quiver)
• Strong experience with Palantir AIP including AI workflows, agents, and decision intelligence and AI-enabled use cases (preferred) Experience integrating LLMs within Palantir AIP for enterprise use cases Experience working with large-scale enterprise datasets Experience operationalizing ML models within Foundry

Qualifications

BACHELOR OF ENGINEERING