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Vetted XGBoost Professionals
Pre-screened and vetted.
Intern Data Analyst/Data Scientist specializing in product analytics and ML
Principal Data Scientist specializing in Generative AI, LLMs, and ML platforms
Mid-level Full-Stack Engineer specializing in FinTech and enterprise platforms
Mid-level AI/ML Engineer specializing in GenAI, RAG, and cloud-native ML platforms
Mid-Level Software Engineer specializing in scalable systems and applied machine learning
Mid-level AI/ML Engineer specializing in recommender systems, NLP, and MLOps
Mid-level Software Engineer specializing in backend systems, cloud microservices, and AI-driven automation
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 AI Data Scientist specializing in financial risk, fraud detection, and NLP/LLM systems
Mid-level AI/ML Engineer specializing in MLOps, distributed ML, and RAG pipelines
Mid-level Data Scientist specializing in marketing analytics and scalable data platforms
Senior Data Scientist specializing in Generative AI, NLP, and MLOps
Senior Machine Learning Engineer specializing in NLP, Generative AI, and healthcare/legal AI
Senior AI Platform Engineer specializing in agentic AI and RAG systems
Senior AI/ML Engineer specializing in GenAI, LLMs, NLP, and MLOps
Executive Engineering Leader specializing in Telehealth Platforms and Healthcare IT
Rubeena Riyas
Senior AI Engineer specializing in LLM agents, RAG, and scalable data platforms
“ML/data engineer who owned an end-to-end production sales analytics pipeline at 15,000+ user scale, delivering ~50% compute reduction, ~80% faster reporting, and ~$1.2M impact. Also shipped a production RAG-based AI assistant over internal BigQuery/docs with evaluation metrics and safety guardrails, and built shared Python libraries to standardize reliability and accelerate engineering teams.”