AI enginner

About this Gig

AI Engineer Production-Ready AI & Intelligent Applications Creating end-to-end Machine Learning and Generative AI applications that address tangible business challenges by merging state-of-the-art AI models with strong backend engineering. What I do: Conversational AI & RAG systems: Developing multi-agent frameworks and enterprise-grade Retrieval-Augmented Generation (RAG) systems. Machine learning & Deep learning: Creating custom computer vision models such as object detection, tracking, and semantic segmentation as well as predictive maintenance models. AI Engineering & integration: Developing FastAPI-based REST endpoints from models and Docker packaging for cloud/edge deployment. Turn data into intelligence with me.

Requirements

Here is what we will need first to kick things off: Objectives: A general description of the artificial intelligence solution you want to have built (chatbot, predictive model, agent) and your success criteria. Data/KB Sources: Datasets (for training/model fine-tuning) or reference materials (for RAG/chatbots) that are at your disposal and any relevant limitations on the use of data. Preferred Tech Stack: The models that you prefer using (OpenAI, Gemini, or open source), the cloud computing platforms (Azure, Docker, and other) as well as the systems we should be integrating into. API Keys: The access credentials to your APIs/Language Models/Databases etc. upon signing the contract.

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