Data Engineer (AI Engineering)

TL;DR

Data Engineer (AI Engineering): Supports the design, development, and deployment of scalable, AI-enabled data solutions, integrating advanced analytics, machine learning, and engineering practices. Focus on deploying data pipelines, pre-processing workflows, and feature engineering strategies within secure, containerized environments.

Location: In Person: Falls Church, VA | Ft. Meade, MD | Stuttgart, Baden-Württemberg, Germany | Tampa, FL | Honolulu (Camp H.M. Smith), HI | Colorado Springs, CO | Doral (Miami area), FL | Omaha (Offutt Air Force Base), NE | Scott Air Force Base, IL

Company

hirify.global brings adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility.

What you will do

• Plan, develop, and maintain reusable services for data ingestion, transformation, and feature engineering that support AI/ML workflows.
• Develop and deploy standalone or embedded ML models for tasks such as decision support, automation, anomaly detection, and pattern recognition.
• Conduct exploratory data analysis (EDA) to identify trends, gaps, and opportunities within structured and unstructured datasets.
• Engage with product managers and mission users to define data and model requirements aligned with operational goals.

Requirements

• Active DoD Top Secret clearance (or ability to obtain).
• U.S. Citizenship required.
• A bachelor's degree plus 3 years of recent specialized experience, OR, an associate's degree plus 7 years of recent specialized experience, OR, a major certification plus 7 years of recent specialized experience, OR, 11 years of recent specialized experience
• Experience working in agile environments that value reproducibility, testing, and continuous delivery.

Nice to have

• 4+ years of experience in applied data science, machine learning engineering, or data pipeline development.
• Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark).
• Experience developing ML models from training to deployment using industry-standard tools and libraries (e.g., scikit-learn, TensorFlow, XGBoost, MLflow).
• Familiarity with MLOps, API development, and secure cloud-based environments (e.g., AWS, Azure, Palantir Foundry).

Culture & Benefits

• Employees of hirify.global are our number one priority, and the importance we place on our culture here is fundamental.
• Competitive and comprehensive benefits package.
• The 6Hs, the values that define our culture and guide everything we do: Happy, Helpful, Honest, Humble, Hungry, Hustle.