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Vetted Natural Language Processing Professionals
Pre-screened and vetted.
Senior Backend/Platform Engineer specializing in Python, Kubernetes, and data streaming
Senior Applied ML Scientist specializing in LLMs, ads ranking, and RAG systems
Senior AI/ML Engineer & Data Scientist specializing in NLP, entity resolution, and knowledge graphs
Mid-level Machine Learning Engineer specializing in LLMs, ranking, and scalable ML systems
Mid-level Technical Solutions Architect & Technical Operations Manager specializing in AI automation
Senior AI/ML Engineer specializing in LLMs, RAG, and multimodal recommendation systems
Director of Product & Change Management specializing in enterprise risk and platform strategy
Senior AI/ML Engineer specializing in computer vision, NLP, and real-time forecasting
Intern Data Scientist specializing in machine learning and trustworthy AI
Mid-level Machine Learning Engineer specializing in real-time recommender systems and MLOps
Senior Data Scientist specializing in large-scale ML systems and recommendations
Mid-level AI/ML Engineer specializing in NLP, computer vision, and recommender systems
Junior Data Analyst specializing in experimentation, data quality, and ML analytics
Mid-level AI/ML Engineer specializing in RAG, NLP, and MLOps
Senior Machine Learning Scientist specializing in LLMs, RAG, and health AI
Mid-level Software Engineer specializing in FinTech backend systems
Paul Kasinski
Executive CIO/CTO specializing in enterprise transformation across retail, e-commerce, and AI
“Senior technology executive (CTO/SVP Technology, also board member) with experience modernizing legacy environments and scaling teams in high-growth and PE-owned contexts. Architected a standardized enterprise platform (ERP/WMS/CRM/POS/eComm/DWH/BI/integration) to rapidly migrate acquisitions—moving 7 companies in under 3 years and cutting migration timelines ~4x—while also driving major org redesign and hiring acceleration (30+ hires in 6 months).”
Brian Sanders
Senior Backend Engineer specializing in GenAI, LLMs, and scalable data pipelines
“Backend/ML platform engineer from Snapsheet who owned production Python services and data pipelines for insurance claims, including an AI document classification/summarization FastAPI service on ECS/Fargate processing 1M+ documents/year. Strong in AWS infrastructure (Terraform, CI/CD, secrets/IAM, autoscaling), Glue/PySpark ETL with schema evolution controls, and legacy SAS-to-microservices modernization with safe, feature-flagged rollouts and measurable performance wins.”