Ennoble First is looking to redefine how the Intelligence Community leverages data and AI by building advanced analytics and machine learning pipelines that extract insight from petabytes of multi-source data, enabling near real-time situational awareness and predictive intelligence.
Requirements
- Expertise in Python, R, or similar languages for data processing and model development.
- Strong experience with TensorFlow, PyTorch, or Scikit-learn for AI/ML implementation.
- Hands-on experience with cloud environments (AWS, Azure, or C2S).
- Knowledge of distributed data processing systems such as Spark or Hadoop.
- Familiarity with SQL/NoSQL databases and data visualization tools (Tableau, Power BI, Plotly).
- Experience deploying containerized models using Docker or Kubernetes.
- Proficiency in MLOps, including CI/CD for ML pipelines and model monitoring.
Responsibilities
- Lead the design, development, and deployment of AI/ML models for geospatial and intelligence data.
- Develop and maintain scalable data pipelines and feature stores supporting analytics and visualization applications.
- Perform advanced data analysis, modeling, and predictive analytics to solve mission-critical problems.
- Collaborate with software engineers, systems architects, and analysts to operationalize models within secure cloud environments.
- Develop and optimize machine learning workflows using Python, PyTorch, TensorFlow, and containerized environments.
- Apply modern data engineering practices such as automated ETL, MLOps, and distributed training.
- Communicate technical findings to mission stakeholders through reports, dashboards, and visual analytics.
Other
- Clearance Required: Top Secret with SCI eligibility and ability to obtain Polygraph
- Bachelor's degree in Data Science, Computer Science, Mathematics, or related discipline and 12–15 years of experience, or Master's with 10–13 years.
- U.S. citizenship required.
- Experience with GEOINT or intelligence community data sources.
- AWS Machine Learning Specialty or equivalent certification.
