Pre-screened and vetted in Remote.
Mid-level AI/ML Engineer specializing in forecasting, NLP, and MLOps
Senior Machine Learning Engineer specializing in AWS and Generative AI
Junior AI Engineer specializing in LLM agents and data science
Mid-level AI/ML Engineer specializing in GenAI, LLM fine-tuning, and RAG systems
Senior Machine Learning & Computer Vision Engineer specializing in multimodal perception and LLM evaluation
Junior AI/ML Engineer specializing in recommender systems and MLOps
Senior AI & Machine Learning Engineer specializing in fraud detection and MLOps
Mid-Level Machine Learning Engineer specializing in AI backend and generative AI
Mid-level Machine Learning Engineer specializing in MLOps, streaming analytics, and financial risk
Mid-level Software Engineer specializing in ML infrastructure and AI agents
Mid-level Machine Learning Engineer specializing in LLM agents and MLOps
Mid-level AI/ML Engineer specializing in NLP and FinTech
Mid-level AI/ML Engineer specializing in LLMs, RAG, and recommendation systems
Mid-level Machine Learning Engineer specializing in MLOps and production AI
Mid-level AI/ML Engineer specializing in healthcare NLP and MLOps
Mid-level Data Engineer specializing in AWS, real-time pipelines, and ML/GenAI data platforms
Mid-level AI/ML Engineer specializing in NLP, MLOps, and cloud deployment
Mid-level AI/ML Engineer specializing in NLP, recommender systems, and MLOps in financial services
Junior AI Engineer specializing in NLP, computer vision, and MLOps
Mid-level AI/ML Engineer specializing in NLP, MLOps, and scalable ML platforms
Mid-level AI/ML Engineer specializing in NLP, LLMs, and MLOps
Mid-level AI/ML Engineer specializing in GenAI, computer vision, and real-time ML pipelines
Senior Full-Stack AI/ML Engineer specializing in personalization, NLP, and GenAI platforms
Mid-level Data Scientist specializing in LLM development and scalable ML pipelines
“Built and deployed production LLM pipelines for evidence-based scoring in two domains: biomedical literature mining (scoring ~2700 drug compounds vs gene targets/mechanisms) and long-horizon news analytics (35 years of Chinese articles). Emphasizes reliability at scale (retries/checkpointing/validation), rigorous empirical model benchmarking (GPT-4o/mini/5), and translating results into stakeholder-friendly visual narratives.”