Design, develop, and deploy scalable, AI-enabled data solutions for DoD programs.
Shape data pipelines, preprocessing, feature engineering, and ML services in secure containers.
Collaborate with PMs, developers, platform engineers, and mission stakeholders.
Work in Agile environments prioritizing reproducibility, testing, and continuous delivery.
Familiar with Databricks, Palantir, or AWS-native data platforms.

🎯 Requirements

3+ years in data or software engineering.
Bachelor's in CS/IS/Data Engineering; masters preferred.
Experience with Palantir MSS Workshop and Slate.
Python, SQL, Spark, Databricks, PySpark.
ML models from training to deployment (scikit-learn, TensorFlow, XGBoost).
MLOps, API development, and secure cloud environments (AWS, Azure, Palantir Foundry).

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