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Vetted Supervised Learning Professionals
Pre-screened and vetted.
Intern AI/ML Engineer specializing in RAG and adversarial robustness
Junior Data Scientist specializing in LLMs, RAG, and multimodal AI
Director-level Data & Analytics Manager specializing in ML, Snowflake ELT, and RAG
Mid-level AI/ML Engineer specializing in LLMs, RAG, and cloud AI infrastructure
Mid-level Machine Learning Engineer specializing in MLOps, GenAI, and financial risk modeling
Mid-level AWS AI/ML Engineer specializing in cloud ML pipelines and NLP
Mid-level AI/ML Engineer specializing in Generative AI, NLP, and scalable cloud ML
Junior Machine Learning Engineer specializing in LLM fine-tuning and AWS deployment
Mid-level AI/ML Engineer specializing in LLM agents, search/recommendation, and MLOps
Mid-level Data Scientist specializing in ML, NLP and forecasting
Mid-level Software Engineer specializing in AI/GenAI and cloud-native backend systems
Mid-level AI/ML Engineer specializing in MLOps, fraud detection, and predictive analytics
Principal AI Architect & Data Engineer specializing in GenAI, agentic systems, and MLOps
Junior Full-Stack Software Engineer specializing in web, mobile, and AI-enabled collaboration tools
Mid-level AI Engineer specializing in LLM automation and RAG systems
Mid-level AI/ML Engineer specializing in cloud AI, MLOps, and NLP
Mid-level Data Engineer specializing in cloud data platforms and real-time pipelines
Swarag Reddy Pingili
Junior AI/ML Software Engineer specializing in LLM agents and RAG systems
“AI/back-end engineer at Canon who helped build and operate an internal production LLM platform that acts as a secure middle layer between users and models, defending against jailbreaks/prompt injection while enabling RAG, memory, and grounded responses over company data. Experienced with LangChain/LangGraph orchestration, vector DB retrieval, and reliability practices (testing, monitoring, adversarial prompts) to run high-throughput, low-latency AI workflows in production.”
Adithya Sharma
Mid-level AI/ML Engineer specializing in MLOps, NLP, and Generative AI
“Built and deployed a production LLM-powered text-to-SQL/document intelligence chatbot on AWS that lets non-technical business users query complex enterprise databases in plain English. Demonstrates deep practical expertise in schema-aware prompting, embeddings-based schema retrieval, SQL safety/validation guardrails, and rigorous offline/online evaluation with human-in-the-loop approvals for risky queries.”