Where Work Meets Adventure
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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.