Pre-screened and vetted in Massachusetts.
Mid-level AI/ML Engineer specializing in LLM systems and MLOps
“Built and deployed an AI tutoring assistant end-to-end at Nexora School, spanning discovery with school districts, multi-agent LangGraph/RAG architecture, AWS Bedrock migration, and post-launch stabilization. Stands out for combining hands-on LLM systems engineering with strong educator-facing trust building, FERPA-driven architecture decisions, and disciplined production practices around evals, logging, and messy document ingestion.”
Mid-level ML Engineer specializing in LLMs, document AI, and computer vision
Mid-level AI/ML Engineer specializing in GenAI, RAG, and multi-agent LLM systems
Mid-level AI Engineer specializing in NLP, computer vision, and healthcare analytics
“Data scientist who has built production LLM agents (GPT-4o + LangChain + RAG) to automate analyst-style ad hoc CSV analysis with guardrails and GPT-as-a-judge evaluation. Also delivered an explainable healthcare NLP system for ICD code classification by collaborating closely with clinicians, using a hybrid rule-based decision tree + BERT model to reach 97% accuracy and cut manual review time.”
Mid-level Machine Learning Engineer specializing in cloud ML pipelines and MLOps
Mid-level Backend/Android Engineer specializing in Kotlin and applied ML
Junior Machine Learning & Computer Vision Engineer specializing in LLM agents and data pipelines
Senior AI Engineer specializing in LLM, RAG, and production GenAI systems