Pre-screened and vetted in Remote.
Mid-level Data Scientist specializing in GenAI/LLMs and MLOps for healthcare analytics
Mid-level AI/ML Engineer specializing in LLMs, RAG, and production GenAI systems
“Built and deployed a production LLM-powered RAG knowledge system to unify operational/policy information across PDFs, wikis, and databases, emphasizing auditability and low-latency/cost performance. Improved answer relevance at scale by moving from pure vector search to hybrid retrieval with metadata filtering and reranking, and partnered closely with healthcare operations/compliance to define acceptance criteria and human-in-the-loop guardrails.”
Mid-level Data Scientist specializing in Generative AI, RAG systems, and MLOps
Mid-level Data Scientist & Product Ops/Analytics professional specializing in AI and KPI systems
“Cross-functional operator/chief-of-staff style leader who took a product from prototype to a live pilot in 3 months, spanning public-sector data normalization, an ML matching engine, a secure API, and KPI/investor demo instrumentation. Strong focus on executive alignment and productivity via Notion-based operating systems plus automated reporting (Python/Power BI), with experience supporting fundraising and go-to-market narratives.”
Mid-level Data Scientist specializing in ML, LLM pipelines, and MLOps
“Built and deployed a production LLM-driven document understanding pipeline using LangChain/LangGraph, focusing on reliability via step-by-step prompting, validation checks, and monitoring. Also partnered with non-technical marketing stakeholders at Heartland Community Network to deliver an XGBoost targeting model surfaced in Power BI, improving campaign conversion by 12%.”
Senior Data Scientist and ML Engineer specializing in NLP, LLMs, and AI systems
Mid-level Data Scientist specializing in fraud detection and credit risk ML
Entry-Level Data Scientist specializing in LLM RAG systems and computer vision