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Vetted Data Preprocessing Professionals
Pre-screened and vetted.
Senior AI Engineer specializing in LLMs, RAG, and production ML systems
Staff Machine Learning Scientist specializing in NLP, LLMs, and Generative AI
Senior Machine Learning Engineer specializing in Generative AI and NLP
Jesse Olson
Executive AI technology leader specializing in agentic AI and enterprise transformation
“Candidate is exploring a startup in the autonomous agentic AI space and is approaching it with a disciplined founder mindset. They are evaluating market opportunity, competition, customer pain, ROI, technical feasibility, and MVP options while already speaking with potential customers across verticals to validate needs and buying processes.”
Senior Software Engineer specializing in Python backend and applied AI platforms
Senior AI Full Stack Engineer specializing in generative AI and ML systems
Senior AI/ML Engineering Manager specializing in NLP, computer vision, and MLOps
Senior AI/ML Engineer specializing in conversational AI and enterprise LLM systems
Senior Machine Learning Engineer specializing in Generative AI and NLP
Mid-level Data Scientist specializing in Generative AI and LLM applications
Staff ML Platform Engineer specializing in distributed training and inference
Senior Full-Stack Engineer specializing in microservices, data pipelines, and cloud platforms
Mid-Level Backend Software Engineer specializing in payments and real-time analytics
Senior Machine Learning Engineer specializing in LLMs and scalable MLOps
Senior AI/ML Engineer specializing in production LLM reliability and RAG systems
Mid-level Data Scientist / GenAI & ML Engineer specializing in LLM apps and MLOps
Mid-level Machine Learning Engineer specializing in Generative AI and LLM applications
Sai Chandra Bandi
Mid-level AI/ML Engineer specializing in Generative AI, LLM alignment, and RAG
“Built and productionized a real-time enterprise RAG pipeline to improve factual accuracy and reduce LLM hallucinations by grounding responses in constantly changing internal knowledge bases (policies, manuals, FAQs). Experienced in orchestrating end-to-end ML workflows (Airflow/Kubernetes), handling messy multi-format data with schema enforcement (Pydantic/Hydra), and maintaining freshness via streaming incremental embeddings plus batch refresh. Also delivers applied ML solutions with non-technical teams (marketing/CRM) for segmentation and personalized engagement.”