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Vetted PyTorch Professionals
Pre-screened and vetted.
Mid-level Machine Learning Engineer specializing in Generative AI, NLP, and recommender systems
Mid-level AI/ML Engineer specializing in LLM training, evaluation, and applied mathematics
Mid-level Data Scientist specializing in ML, MLOps, and applied risk modeling
Mid-level AI/Data Engineer specializing in LLMs, RAG pipelines, and cloud data platforms
Mid-level Data Scientist specializing in GenAI, NLP, and cloud MLOps
Mid-level Machine Learning Engineer specializing in MLOps and LLM/RAG systems
Mid-level Data Scientist specializing in recommendations, search relevance, and NLP
Mid-level Data Scientist specializing in ML, NLP, and forecasting across finance and retail
Junior Data & AI Analyst specializing in BI, LLM applications, and analytics
Intern Game Systems Designer specializing in combat systems and real-time graphics
Senior Software Engineer specializing in full-stack web apps and LLM/RAG systems
Mid-level Data Engineer specializing in cloud data platforms and BI analytics
Mid-level Applied AI Engineer specializing in Generative AI and RAG systems
Mid-level Data Scientist specializing in ML, NLP, and LLM-powered analytics
Tushar Jayendra Mhatre
Intern Data Scientist/ML Engineer specializing in generative AI and ML platforms
“AI Engineering Intern at The Etherloop building the backend for a healthcare lifestyle recommendation app, including a multi-agent RAG-based system that uses curated SME data plus web search to generate personalized supplement recommendations from user lifestyle details and blood biomarkers. Evaluates against 500+ SME ground-truth profiles with ranking metrics and focuses on HIPAA-aligned deployment, privacy/security, and guardrails to reduce hallucinations and unsafe outputs.”
Tushar Gwal
Mid-level AI/ML Engineer specializing in GenAI, computer vision, and MLOps
“AI engineer with experience taking a GPT-4-powered GenAI career coach toward production on Azure AI Foundry, re-architecting the backend with hybrid (vector + keyword) search and RAG optimizations to cut latency by 50%. Also has client-facing TCS experience building healthcare ETL pipelines and delivering error-free monthly reports, plus current work analyzing agentic system reasoning traces and guardrail drift as an AI research fellow.”