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Vetted Machine Learning Professionals
Pre-screened and vetted.
Senior AI/ML Engineer specializing in LLMs, NLP, and production MLOps
Mid-level Machine Learning Engineer specializing in MLOps and healthcare analytics
Mid-Level Generative AI Engineer specializing in LLM apps, RAG, and cloud deployment
Mid-level Data Scientist specializing in ML, NLP, and cloud deployment
Junior Technical Solutions Engineer specializing in Epic EMR and healthcare IT
Junior Data Scientist / ML Engineer specializing in applied ML, data pipelines, and full-stack systems
Mid-level Backend Software Engineer specializing in cloud-native microservices and AI automation
Mid-Level Software Engineer specializing in cloud microservices and GenAI RAG systems
Mid-level Data Scientist / ML Engineer specializing in NLP, GenAI, and cloud ML deployment
Junior Full-Stack & ML Engineer specializing in AI products and real-time systems
Mid-level Data Engineer specializing in cloud data platforms for Healthcare and Financial Services
Principal Site Reliability Engineer specializing in multi-cloud platforms, observability, and AIOps
Executive Engineering Leader specializing in AI, Cloud, and Data Platforms
Director-level Technology & Management Consultant specializing in software delivery, cloud, and healthcare IT
Senior Data Scientist specializing in NLP, MLOps, and cloud ML platforms
Principal Automation Architect specializing in cloud DevOps, microservices, and MLOps
Mid-level Java Full-Stack Developer specializing in cloud-native microservices
Senior AI Python Engineer specializing in Generative AI and MLOps
Kamilah Patterson
Senior HR Business Partner specializing in talent strategy and workforce analytics
“HR Business Partner with GroupM experience supporting multiple mergers, building and transitioning Analytics/Programmatic/Account Management teams through hands-on job architecture, benchmarking, and performance management. Uses HR analytics (including an Excel-based retention model with visual reporting) and cross-functional partnership with IT to reduce disruption and improve retention during restructuring and major policy changes like return-to-office.”
Sanjay Mamani
Executive Technology Leader specializing in enterprise data, AI, and cloud analytics
“25-year builder/operator who has scaled others' visions and led VC-backed startup incubation work (Saltmines). Built Bridgetree’s AI CoE from 0 to 1 and cites $20M+ measurable customer impact, with experience leading 110-person cross-disciplinary teams. Exploring a new venture idea (gotAgentic.ai) focused on agentic AI solutions such as AI-ready data prep, agentic SDLC teams, and front-office automation (scheduling/invoicing).”