Pre-screened and vetted.
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Mid-level Data Scientist specializing in GenAI, NLP, and deep learning
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Mid-level AI/ML Engineer specializing in MLOps, real-time ML, and LLM/RAG systems
Junior AI/ML Engineer specializing in NLP, LLMs, and cloud systems
Mid-level Machine Learning Engineer specializing in NLP, federated learning, and fraud detection
Mid-level Data Scientist specializing in GenAI, NLP, and deep learning
Principal Data Scientist specializing in Generative AI and MLOps
Mid-level AI & ML Engineer specializing in NLP, LLMs, and scalable ML systems
Mid-level AI/ML Engineer specializing in LLM evaluation, RAG, and GPU-accelerated inference
Junior AI/ML Engineer specializing in NLP, LLM evaluation, and Azure MLOps
Mid-level Data Engineer specializing in ML, LLM pipelines, and analytics platforms
Mid-level AI/ML Data Engineer specializing in data pipelines, MLOps, and LLM/RAG systems
Mid-level AI/ML Engineer specializing in multimodal and generative AI at scale
Senior Data/GenAI Engineer specializing in cloud-native ML, RAG, and real-time data platforms
Mid-level Software Development Engineer specializing in backend systems and ML platforms
Mid-Level Software Development Engineer specializing in AWS edge AI and generative AI apps
Mid-level AI/ML Engineer specializing in NLP, graph models, and MLOps for FinTech and Healthcare
“AI/ML engineer who has deployed production LLM/transformer-based systems for merchant intelligence and fraud/support optimization, delivering +27% merchant engagement and +18% payment success. Deep experience in privacy-preserving, PCI DSS-compliant data/ML pipelines (Airflow, AWS Glue, Spark, Delta Lake) and scalable microservices on Kubernetes, plus proven cross-functional delivery in healthcare claims analytics at UnitedHealth Group (12% HEDIS claim reduction).”