Pre-screened and vetted in the Chicago Metro.
Mid-level Data Scientist/MLOps Engineer specializing in NLP, GenAI, and cloud ML platforms
“AI/ML engineer who led production deployment of a multimodal (text/video/image) RAG system on GCP using Gemini 2.5 + Vertex AI Vector Search, scaling to 10M+ documents with sub-second latency and +40% retrieval accuracy. Strong MLOps/orchestration background (Kubernetes, CI/CD, Airflow, MLflow) with proven impact on reliability (75% fewer incidents) and deployment speed (92% faster), plus experience delivering explainable ML (XGBoost + SHAP + Tableau) to non-technical retail stakeholders.”
Mid-level Data Scientist specializing in Generative AI, LLMs, and MLOps
Mid-level Data Scientist specializing in healthcare and fraud analytics with GenAI/LLM expertise
Mid-level AI Engineer specializing in LLM apps, RAG pipelines, and agentic workflows
Mid-level Data Scientist/MLOps Engineer specializing in NLP, GenAI, and cloud ML platforms
Senior Data Scientist specializing in fraud detection and credit risk modeling
Junior Machine Learning Engineer specializing in real-time inference and production ML systems
Mid-level Data Scientist specializing in computer vision and behavioral analytics
Mid-level AI/ML Research Engineer specializing in NLP, LLM agents, and multimodal systems
Mid-level AI/ML Research Engineer specializing in NLP, LLM agents, and multimodal systems