Pre-screened and vetted.
Mid-level Machine Learning Engineer specializing in NLP, LLMs, and deep learning
Junior Full-Stack Software Engineer specializing in ML, cloud infrastructure, and LLM agents
Mid-level Machine Learning Engineer specializing in NLP, LLMs, and MLOps
Mid-level Data Scientist / GenAI Engineer specializing in LLMs, RAG, and MLOps
Mid-level Data Engineer specializing in cloud data pipelines and analytics platforms
Mid-level AI Backend Engineer specializing in LLM applications and scalable ML services
Mid-Level Software Engineer specializing in distributed systems and FinTech
Mid-Level Software Engineer specializing in scalable systems and applied machine learning
Mid-level AI/ML Engineer specializing in recommender systems, NLP, and MLOps
Mid-level Software Engineer specializing in event-driven backend and on-device ML for robotics
Mid-level Full-Stack Developer specializing in FinTech and fraud detection
Mid-level AI Data Scientist specializing in financial risk, fraud detection, and NLP/LLM systems
Junior Multimodal AI & Systems Engineer specializing in robotics and cloud infrastructure
Mid-level AI/ML Engineer and Developer Educator specializing in GenAI, RAG, and AI community building
Senior Data Scientist specializing in Generative AI, NLP, and MLOps
Mid-level AI/ML Engineer specializing in NLP, Generative AI, and fraud detection
“At PwC, built and productionized an agentic RAG enterprise search assistant over 6M internal documents (8M embeddings), deployed across AWS and GCP. Drove major retrieval gains (72%→92% precision via BM25+dense hybrid with RRF and cross-encoder re-ranking), reduced hallucinations 30%, achieved <2s latency at 50–60K queries/month, and cut support tickets 30%—boosting adoption to 2,500 users by adding source-cited answers.”