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Vetted Logistic Regression Professionals
Pre-screened and vetted.
Junior Data-Centric AI Engineer specializing in scalable ML infrastructure
Mid-level AI/ML Engineer specializing in financial services and generative AI
Senior Generative AI Engineer specializing in LLM platforms, RAG, and MLOps
Mid-level AI/ML Engineer specializing in cloud MLOps and agentic RAG systems
Senior Cloud & Data Architect specializing in multi-cloud infrastructure and database platforms
Senior Generative AI Engineer specializing in RAG, LLM fine-tuning, and AI agents
Director of Data Science specializing in ML, NLP/LLMs, and MLOps
Senior AI/ML Data Scientist specializing in cloud-deployed NLP, CV, and MLOps
Mid-Level Back-End Software Engineer specializing in regulatory reporting (EMIR)
Mid-level Machine Learning Engineer specializing in NLP, LLMs, and deep learning
Mid-level AI/ML Engineer specializing in GenAI, RAG, and cloud-native ML platforms
Mid-Level Full-Stack Software Engineer specializing in cloud microservices and LLM/RAG systems
Mid-level AI/ML Engineer specializing in NLP, RAG, and agentic AI
Intern Data Scientist specializing in NLP and Large Language Models
Mid-level Data Scientist specializing in marketing analytics and scalable data platforms
Senior Machine Learning Engineer specializing in NLP, Generative AI, and healthcare/legal AI
Varaprasad Bathula
Intern AI/ML Engineer specializing in LLM applications and data infrastructure
“Hands-on LLM practitioner who built a production document-processing pipeline in Python, tackling long-document handling and latency with chunking/batching and a user-driven correction feedback loop. Experienced operationalizing AI workflows with Kubernetes (CronJobs, autoscaling, scheduled data cleaning and weekly retraining) and applying structured testing/evaluation (E2E, LLM-as-judge, HITL) while communicating solutions clearly to non-technical clients using visual diagrams.”