All results for “ml pipelines”
19 results
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I will build and deploy custom machine learning models and MLOps pipelines — per hour Verified Zinner Level 1End-to-end machine learning engineering — from data preprocessing and model training to cloud deployment on GCP and Hugging Face. Deep learning, computer vision, NLP, predictive modelling, and time-series forecasting, all handled across the full MLOps… -
Develop Custom Chatbots with LangChain, GPT, and RAG Pipelines Verified Trusted Zinner Hot Zinner Zinner Level 3Data Visualization, Preprocessing Machine Learning model with validation. -
I will develop a scalable full-stack dApp + Web3 strategy Verified Zinner Level 1Get a complete Web3 solution. I provide strategic business planning, robust full-stack dApp engineering, and investor-grade whitepapers to ensure your blockchain project launches successfully and scales effectively. -
I will build AI automation workflows with n8n, ManyChat, Airtable and chatbots Verified Zinner Level 1I build AI-powered automation systems using n8n, ManyChat, Airtable, and chatbot workflows to help businesses capture, organize, and follow up with leads automatically. -
I will build gohighlevel landing page sales funnel ghl snapshot automation dashboard customize Verified Zinner Level 1I will build a high-converting GoHighLevel real estate sales funnel, including landing pages, lead capture forms, CRM pipeline setup, and automated follow-up workflows. I will also create a fully customized snapshot, automation system, and dashboard… -
I will build a custom full stack web application with React, Node.js, and cloud deployment Verified Zinner Level 1I am Omughelli Vovwero — a dedicated and highly skilled Software Developer who builds clean, scalable, and high-performance software solutions tailored to your exact needs. From web applications and custom APIs to database architecture and…
Articles
12 results- MLOps Marketplace ⚙️ MLOps & Deployment Engineers Hire Verified MLOps Engineers Find MLOps engineers who take your machine learning models from notebook to production — deployment, pipelines, monitoring, scaling and retraining, built…
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