Design, develop, and deploy AI-enabled data solutions for mission data.
Build data pipelines, pre-processing steps, and feature engineering.
Develop ML services in secure, containerized environments.
Collaborate with PMs, full-stack developers, platform engineers, and stakeholders.
Apply agile methods with reproducibility, testing, and continuous delivery.
Familiar with cloud data platforms such as Databricks, Palantir, or AWS.

🎯 Requirements

Bachelor’s degree in CS, IS, Data Eng, or related field.
3+ years in data or software engineering.
Proficient in Python, SQL, Spark, Databricks, PySpark.
ML model development from training to deployment (scikit-learn, TensorFlow, XGBoost).
Familiar with MLOps, API dev, and secure cloud envs (AWS/Azure/Palantir Foundry).
Palantir Foundry development experience.
Palantir MSS Workshop and Slate for data viz.
Excellent technical communication.

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