Pre-screened and vetted.
“Built and owned a production RAG-based conversational AI system at Entera for real estate analysis, taking it from experimentation through AWS deployment, monitoring, and iterative improvement. Demonstrates strong practical judgment in retrieval design, LLM safety, and scalable Python service architecture, with measurable impact including 30-40% reduction in manual analysis time and roughly 30% better response accuracy.”
Mid-level AI/ML Engineer specializing in LLMs, MLOps, and AI security
Mid-level Machine Learning Engineer specializing in Generative AI, NLP, and MLOps
Mid-level AI/ML Engineer specializing in credit risk, NLP, and fraud detection
Mid-level Data Scientist specializing in AI/ML for healthcare analytics
Junior Quantitative Finance & ML Trading Founder specializing in automated stock models
Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and MLOps
Mid-level AI Engineer specializing in computer vision, NLP, and MLOps
Mid-level AI & Machine Learning Engineer specializing in Generative AI, NLP & MLOps
Mid-level Machine Learning Engineer specializing in NLP and recommender systems
Mid-level AI Engineer specializing in GenAI and financial risk & fraud analytics
Senior Machine Learning Engineer specializing in forecasting, anomaly detection, and MLOps
Mid-level AI/ML Engineer specializing in risk scoring, forecasting, and real-time fraud detection
Mid-level AI/ML Engineer specializing in healthcare analytics and fraud detection
Mid-level AI/ML Engineer specializing in MLOps, fraud detection, and LLM/NLP systems
Mid-level AI/ML Engineer specializing in Generative AI, NLP, and LLM-powered healthcare systems
Mid-level Machine Learning Engineer specializing in healthcare analytics and fraud detection
Mid-level AI/ML Engineer specializing in LLMs, RAG, and MLOps
Mid-level Machine Learning Engineer specializing in fraud, credit risk, and real-time ML systems
Mid-level AI/ML & Generative AI Engineer specializing in LLMs and MLOps
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and MLOps