.png){kind=logo}
Vetted Azure Machine Learning Professionals
Pre-screened and vetted.
Akhilesh Padala
Mid-level AI/ML Engineer specializing in Generative AI, NLP, and Computer Vision
“ML/AI engineer with strong end-to-end production ownership across predictive ML and Generative AI use cases. They built a churn prediction platform that cut churn 12% and preserved about $1.2M in annual revenue, and also shipped a RAG-based support assistant that reduced ticket resolution time 30% while improving agent satisfaction and onboarding speed.”
Moh Abdullah
Senior AI/ML Engineer specializing in Generative AI, LLMs, and production ML systems
“ML/AI engineer with hands-on ownership of both classical ML and GenAI systems in production. They built an end-to-end churn prediction service on AWS and also shipped RAG-based document search/summarization features, with clear experience in monitoring, hallucination reduction, cost/latency optimization, and creating shared Python/LLM infrastructure used across teams.”
Mid-level AI Engineer specializing in Generative AI, LLMs, and RAG systems
Mid-level AI/ML Engineer specializing in financial risk, fraud detection, and GenAI
Mid-level Data Scientist specializing in financial risk, fraud detection, and GenAI NLP
Senior Infrastructure Platform Architect specializing in hybrid cloud and Kubernetes
Senior Data & AI/ML Engineer specializing in LLM/NLP platforms and cloud data engineering
Mid-level AI/ML Engineer specializing in financial crime detection and retail analytics
Mid-level AI/ML Engineer specializing in quantitative finance and LLM-based NLP
Senior Data Scientist specializing in healthcare economics, AI/ML, and cost forecasting
Mid-level GenAI/ML Engineer specializing in LLMs, RAG, and enterprise search
Executive AI strategy and engineering leader specializing in healthcare and federal AI
Senior AI/ML Engineer specializing in Generative AI and financial ML