Columbia, MD
TS/SCI and Full Poly
120K-260K
All levels accepted
Key Responsibilities:
Design and implement AI/ML models to solve real-world problems in data-rich environments
Apply techniques such as natural language processing (NLP), deep learning, computer vision, and statistical modeling
Collaborate with analysts, engineers, and mission stakeholders to define data-driven solutions
Develop data pipelines and preprocess structured and unstructured datasets
Present findings through visualizations, reports, and briefings for both technical and non-technical audiences
Work in secure, cloud-based environments and contribute to agile project cycles
Required Qualifications:
Bachelor’s or Master’s degree in Computer Science, Data Science, Applied Mathematics, Statistics, or related field
5+ years of experience applying machine learning or deep learning techniques
Proficiency in Python and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas)
Experience working with large-scale data, including unstructured and mission-critical datasets
Strong understanding of supervised, unsupervised, and reinforcement learning
Preferred:
Familiarity with secure cloud platforms (e.g., AWS GovCloud, C2S)
Experience with data visualization tools (e.g., matplotlib, seaborn, Plotly, Power BI)
Understanding of data labeling, model drift, and model operationalization in secure environments