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Vetted Machine Learning Professionals
Pre-screened and vetted.
Intern Data Scientist / ML Engineer specializing in predictive modeling and full-stack AI apps
Director of Engineering specializing in AI and geospatial SaaS platforms
Mid-level Applied Scientist specializing in production GenAI and RAG systems
Intern/Junior Machine Learning Engineer specializing in LLMs, RAG, and vision-language systems
Mid-level Systems/Full-Stack Engineer specializing in microservices, cloud, and observability
Intern AI/Full-Stack Engineer specializing in LLM evaluation and recommendation systems
Mid-Level Software Engineer specializing in iOS/macOS and cross-platform app development
Senior Full-Stack & AI Engineer specializing in enterprise analytics platforms
Mid-level AI Data Engineer specializing in ML pipelines, NLP/LLMs, and cloud data engineering
Senior Full-Stack & AI Automation Engineer specializing in scalable cloud systems
Software Engineering Intern specializing in backend APIs and machine learning
Mid-level Data Scientist specializing in financial ML, forecasting, and NLP/GenAI
Mid-level Software Engineer specializing in Java microservices and cloud-native systems
Senior Supply Chain & Procurement Professional specializing in strategic sourcing and category management
Executive Technology Leader (CTO/CIO/VP Engineering) specializing in cloud, data platforms, and telecom
Junior Software Engineer specializing in distributed systems, cloud infrastructure, and AI
Intern Software Engineer specializing in cybersecurity, cloud, and machine learning
Intern Software Engineer specializing in LLM systems, cloud infrastructure, and ML/robotics
Mid-level Data Engineer specializing in ML, OCR, and cloud-native pipelines
Intern DevOps/Cloud Engineer specializing in AWS automation and release management
Mid-Level Software Engineer specializing in internal web apps, automation, and DevOps
Mid-level Software Engineer specializing in FinTech and cloud-native full-stack development
Intern Machine Learning & Full-Stack Software Engineer specializing in LLMs and cloud deployment