Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Able to Provide Sponsorship
Skills
Statistical Analysis
Graph Data Analysis
NLP Proficiency
ML Ops
python
AI Libraries
NLP
NER
Job Details
For one of our ongoing multiyear opportunity based out of Dallas, TX, we are looking for a AI engineer.
- 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
The consultant should have
- 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 collaboratively in fast-paced, applied AI environments
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