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Vetted Keras Professionals
Pre-screened and vetted.
Mid-level Machine Learning Engineer specializing in NLP and AWS data pipelines
Senior Backend/Cloud Engineer specializing in Java, Spring Boot, and AWS
Senior Full-Stack Software Engineer specializing in AI-enabled microservices and micro-frontends
Junior Machine Learning Engineer specializing in LLM infrastructure and inference optimization
Senior Software Developer specializing in cloud-native microservices and GenAI/ML
Mid-level AI/ML Engineer specializing in LLMs, NLP, and MLOps
Mid-level Machine Learning Engineer specializing in MLOps, fraud detection, and data security
Mid-level Machine Learning & AI Engineer specializing in LLMOps, digital twins, and RL
Mid-Level Full-Stack Engineer specializing in AI/ML and cloud-native web apps
Intern Software Engineer specializing in AI and full-stack web development
Junior Software Engineer specializing in full-stack development and applied ML
Junior Computer Vision & ML Researcher specializing in 3D perception and generative models
Mid-level AI/ML Engineer specializing in LLM fine-tuning and RAG for healthcare
Mid-level Data Analyst/Data Engineer specializing in machine learning and NLP
Mid-level Data Science & AI/ML Engineer specializing in MLOps, NLP, and computer vision
Mid-level AI Engineer specializing in retail personalization and LLM-powered systems
Junior Machine Learning Software Engineer specializing in cloud-deployed predictive models
Senior Robotics & Control Systems Engineer specializing in SLAM, motion planning, and data-driven control
Mid-level Machine Learning Engineer specializing in production ML, MLOps, and Generative AI
Vamsidhar Vuddagiri
Mid-level AI/ML Engineer specializing in LLMs, MLOps, and Azure
“AI/ML engineer who led Impacter AI’s production deployment of a specialized outreach LLM (CharmedLLM) fine-tuned on GPT-4.1, cutting API costs ~40% while boosting outreach effectiveness ~60%. Built the supporting MLOps and data infrastructure (MLflow, Kubernetes, PySpark, Kafka) and has agentic AI experience from University of Dayton, using LangChain + RAG and vector search (Pinecone) to improve reliability and reduce hallucinations.”
revanth polthi
Mid-level Data Scientist specializing in Generative AI and MLOps
“GenAI/LLM engineer with production experience at Allstate building an end-to-end document intelligence workflow for insurance operations—automating document intake, classification, and risk signal extraction. Emphasizes high-reliability design for regulated/high-stakes outputs using schema enforcement, confidence thresholds, validation rules, and human-in-the-loop routing, with metric-driven offline evaluation and production monitoring.”