Pre-screened and vetted in the DFW Metroplex.
Senior ML Engineer specializing in MLOps and Generative AI
Senior GenAI Engineer specializing in enterprise LLM systems and RAG platforms
Mid-level Data Scientist / ML Engineer specializing in risk, fraud, NLP and recommender systems
Mid-level Full-Stack GenAI/ML Engineer specializing in agentic AI and RAG systems
Mid-level AI/ML Engineer specializing in Generative AI and MLOps
Mid-level Machine Learning Engineer specializing in forecasting, NLP, and MLOps
Mid-level Applied AI Engineer specializing in Generative AI and RAG systems
Mid-level Full-Stack AI Engineer specializing in agentic LLM platforms
Mid-level Machine Learning Engineer specializing in MLOps and applied data science
Mid-level AI/ML Engineer specializing in predictive modeling and cloud ML pipelines
“LLM engineer/data engineer who has deployed production RAG systems for internal-document Q&A, building end-to-end ingestion, embedding, vector search, and FastAPI serving while actively reducing hallucinations and latency through rigorous retrieval tuning and caching. Also experienced in orchestrating cloud data pipelines (Airflow, AWS Glue, Azure Data Factory) and partnering with non-technical business teams to deliver AI solutions like automated document review.”
Mid-level AI/ML Engineer specializing in Generative AI and MLOps
“Built and shipped a production RAG assistant using GPT-4, LangChain, and Pinecone/FAISS to search 50K+ institutional documents, with a strong focus on groundedness and hallucination reduction through retrieval optimization and re-ranking. Pairs this with a metrics-driven evaluation/monitoring approach (BLEU/ROUGE, manual sampling, logging) and workflow automation via Airflow, and has experience translating stakeholder needs into iterative AI prototypes.”
Mid-level Data Scientist / ML Engineer specializing in Generative AI, RAG, and MLOps
“Built and productionized a RAG-based LLM research assistant for biomedical and regulatory document search using Mixtral 7B on SageMaker, LangChain, and Milvus, cutting research time by ~40%. Has hands-on multi-cloud MLOps experience across AWS/Azure/GCP with Kubeflow/Airflow/Composer plus Terraform + ArgoCD, and applies rigorous evaluation/monitoring (latency, accuracy, hallucinations). Also partnered with a non-technical PM to deliver an insurance policy Q&A chatbot that reduced customer response time by 30%+.”
Mid-level Data Scientist specializing in Generative AI and NLP
Senior Machine Learning Engineer specializing in GenAI, LLMs, and Python backend
Junior AI/ML Research Engineer specializing in computer vision, OCR, and RAG systems
Mid-level AI & Machine Learning Engineer specializing in Generative AI, NLP & MLOps
Mid-level AI/ML Engineer specializing in LLMs, RAG, and MLOps
Mid-level ML Software Engineer specializing in Generative AI and fraud detection
Mid-level AI/ML Engineer specializing in LLMs, RAG, and MLOps
Mid-level Machine Learning Engineer specializing in NLP, Computer Vision, and LLMs
Junior Data Entry & Operations Specialist specializing in data quality and SLA-driven workflows
Mid-level AI/ML Engineer specializing in MLOps and Generative AI