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Vetted Hugging Face Transformers Professionals
Pre-screened and vetted.
Mid-Level Software Engineer specializing in full-stack development and LLM/GenAI systems
Mid-level AI/ML Engineer specializing in scalable ML systems and cloud MLOps
Mid-Level Full-Stack Software Engineer specializing in AI and data platforms
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and AI personalization
Mid-level Machine Learning Engineer specializing in NLP, LLMs, and deep learning
Mid-level Full-Stack Developer specializing in Java Spring Boot microservices and React
Mid-level Data Scientist / GenAI Engineer specializing in LLMs, RAG, and MLOps
Mid-level Data Analyst & ML Engineer specializing in GenAI, NLP, and cloud data pipelines
Mid-level AI/ML Engineer specializing in GenAI, RAG, and cloud-native ML platforms
Mid-Level Software Engineer specializing in cloud backend and GenAI assistants
Mid-level AI/ML Engineer specializing in NLP, RAG, and agentic AI
Senior Full-Stack & AI/ML Engineer specializing in cloud-native platforms and LLM systems
Mid-Level Software Engineer specializing in full-stack systems and cloud platforms
Mid-level AI Engineer specializing in LLM agents, RAG, and enterprise GenAI
Mid-level AI Data Scientist specializing in financial risk, fraud detection, and NLP/LLM systems
Intern Software Engineer specializing in cloud governance and distributed systems
Senior Data Scientist specializing in Generative AI, NLP, and MLOps
Hachem Hamadeh
Mid-level Applied AI Engineer specializing in ML systems, MLOps, and industrial analytics
“Industrial AI/ML practitioner with experience deploying real-time monitoring and anomaly detection in a regulated Sanofi vaccine manufacturing facility, including root-cause workflows, logging/alerting, and SOP-aligned validation—achieving ~90% faster anomaly detection. Also built Python/NLP-style automation to accelerate instrumentation & control documentation (~40% faster) and delivered end-to-end predictive analytics for an agri-food operations/distribution client using close operator and leadership feedback loops.”