Pre-screened and vetted.
Senior Data Scientist specializing in Generative AI/NLP for legal and healthcare domains
Senior AI/ML Engineer specializing in Computer Vision, NLP, and Generative AI
Senior Machine Learning Engineer specializing in GenAI, NLP, and MLOps
Mid-level AI/ML Engineer specializing in LLM evaluation, RAG, and GPU-accelerated inference
Intern Machine Learning Engineer specializing in RL post-training for LLMs and VLMs
Mid-level Full-Stack Software Engineer specializing in AI-driven web applications
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
Staff/Principal Software Engineer specializing in embedded systems, networking, and ML
Mid-level AI/ML Engineer specializing in multimodal and generative AI at scale
Mid-level Full-Stack Developer specializing in cloud-native apps, AI/ML, and microservices
Junior AI/ML Engineer specializing in LLMs, RAG, and document intelligence
Junior Robotics & AI Engineer specializing in autonomous systems and machine learning
Mid-level Software Development Engineer specializing in backend systems and ML platforms
Mid-level Software Engineer specializing in cloud-native AI/ML and full-stack systems
Senior AI Infrastructure & Backend Engineer specializing in LLM systems
Senior AI Infrastructure Engineer specializing in LLM systems and real-time ML platforms
Intern AI/ML Engineer specializing in GenAI, LLMs, and agentic RAG systems
“AI/LLM practitioner who built a GPT-2-like language model from scratch at the University of Maryland using PyTorch and multi-GPU distributed training, with experiment tracking in Weights & Biases. As an AI Operations intern at ScaleUp360, delivered multiple production-style AI agent automations (Gmail classification and Fireflies-to-Claude workflows that extract and assign CEO tasks) and set up measurable evaluation using test cases and classification metrics.”
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).”