AI Engineer – Freelancer

AI Engineer – Freelancer

Join a project focused on advancing an AI-powered influencer marketing platform by optimizing and scaling its data pipeline. The primary objective is to enhance the performance, cost-efficiency, and recall quality of image-to-text and embeddings workflows. You will be responsible for refining batching, caching, concurrency, and queuing within a serverless AWS environment, as well as tuning models such as InternVL and Qwen using RunPod and Replicate. The role also involves improving semantic recall and retrieval quality for influencer content leveraging Pinecone and OpenSearch, and exploring multi-modal embeddings to boost search accuracy. There is potential to expand the system into Retrieval-Augmented Generation (RAG) and agentic AI workflows for automated insights and recommendations.

Responsibilities

• Take ownership of the existing AI data pipeline, focusing on performance and cost optimization
• Optimize image-to-text and embeddings pipelines for speed, efficiency, and recall quality
• Implement and improve batching, caching, concurrency, and queuing in a serverless AWS environment
• Tune and deploy models (e.g., InternVL, Qwen) via RunPod and Replicate
• Enhance semantic recall and retrieval quality using Pinecone and OpenSearch
• Experiment with multi-modal embeddings for improved search accuracy
• Contribute to the development of RAG and agentic AI workflows for automated insights and recommendations

Skills and Requirements

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