NT Concepts is seeking to solve critical challenges in National Security by advancing the modernization, transformation, and automation of the national security mission through data and technology solutions. This role specifically addresses the need for data transformation and the development of state-of-the-art AI/ML solutions for an intelligence community mission system.
Requirements
- 7+ years’ experience obtaining data from multiple, disparate data sources including structured, semi-structured and unstructured data.
- Demonstrable expertise in data science or analytics (e.g. machine learning, deep learning, NLP, computer vision, predictive modeling and forecasting, statistics).
- Proficiency in tools and languages such as Graph DBs, PostgreSQL/SQL, Python, or Java.
- Experience using ML algorithms packages contained in AWS SageMaker or open-source libraries (Python, C++, etc.)
- Experience developing, verifying, and monitoring AI/ML Models
- Familiarity with DevOps processes and code versioning tools such as git
- Experience with cloud platforms (e.g., AWS, Azure, GCP).
Responsibilities
- Support development of Artificial Intelligence (AI)/ML based pipelines for data inference.
- Apply supervised, unsupervised, and NLP Machine Learning (ML) algorithms for clustering, classification dimensionality reduction, and metadata extraction & content analysis.
- Analyze complex datasets, detect trends and patterns, develop conclusions, and provide recommendations to improve data ingestion, increase data scaling, and enhance data exploitation to ensure more interoperable and secure data.
- Verify data quality and/or ensure it via data cleaning for accuracy and completeness.
- Perform statistical analysis and utilize results to improve the model and data pipeline.
- Design, develop, and maintain ETLs to extract, transform the data into existing data warehouses.
- Automate data analysis to improve and enhance data.
Other
- Active TS/SCI with CI Poly
- Local to the DC Metro Area, Remote Flexible
- Work in cross-functional engineering and product development teams
- Collaborate with analytics teams and SMEs
- Excellent technology communication and thought leadership skills.
