AI Engineer

AI Engineer
5 DAYS ONSITE IN Charlotte, NC
What You'll Get to Do:
" Perform statistical analysis, clustering, and probability modeling to drive insights and inform AI-driven solutions
" Analyze graph-structured data to detect anomalies, extract probabilistic patterns, and support graph-based intelligence
" Build NLP pipelines with a focus on NER, entity resolution, ontology extraction, and scoring
" Contribute to AI/ML engineering efforts by developing, testing, and deploying data-driven models and services
" Apply ML Ops fundamentals, including experiment tracking, metric monitoring, and reproducibility practices
" Collaborate with cross-functional teams to translate analytical findings into production-grade capabilities
" Prototype quickly, iterate efficiently, and help evolve data science best practices across the team
What You'll Bring with You:
" Solid experience in statistical modeling, clustering techniques, and probability-based analysis
" Hands-on expertise in graph data analysis, including anomaly detection and distribution pattern extraction
" Strong NLP skills with practical experience in NER, entity/ontology extraction, and related evaluation methods
" An engineering-forward mindset with the ability to build, deploy, and optimize real-world solutions (not purely theoretical)
" Working knowledge of ML Ops basics, including experiment tracking and key model metrics
" Proficiency in Python and common data science/AI libraries
" Strong communication skills and the ability to work collabor