Data Engineer - AFRICOM

📋 Description

• Design, develop, and deploy scalable AI-enabled data solutions.
• Build data pipelines, preprocessing, feature engineering, and ML services.
• Collaborate with PMs, developers, platform engineers, and stakeholders.
• Work in agile environments with reproducibility, testing, and CD.
• Familiarity with Databricks, Palantir, or AWS cloud services.

🎯 Requirements

• 4+ years in applied data science, ML engineering, or data pipelines.
• Proficient in Python, SQL, and distributed data frameworks (Spark/Databricks).
• End-to-end ML model development with scikit-learn, TensorFlow, XGBoost, MLflow.
• MLOps, API development, and secure cloud environments (AWS/Azure/Palantir).
• Bachelor's +3 years OR Associate +7 years OR cert +7 years OR 11+ years experience.
• Data validation, model testing, and performance evaluation.

🎁 Benefits

• On-site work in a SCIF (Stuttgart, Germany).