À propos
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
Compétences linguistiques
- English
Avis aux utilisateurs
Cette offre provient d’une plateforme partenaire de TieTalent. Cliquez sur « Postuler maintenant » pour soumettre votre candidature directement sur leur site.