Omni Inclusive
Top 3 must have skills
• AI/ML engineering with hands-on experience in multimodal models (CLIP, BLIP, Whisper, or similar models)
• Python
• vector databases (e.g., FAISS, Milvus, Weaviate) and embedding pipelines.
Job Description • Analyze the current multimodal indexing pipeline to identify performance bottlenecks (latency, scalability, and throughput). • Design and implement GenAI-driven optimizations for data ingestion, preprocessing, embedding generation, vector storage, and retrieval and indexing. • Improve embedding quality and efficiency for diverse modalities (text, image, audio, video). • Integrate and optimize vector databases / retrieval systems (e.g., Weaviate, FAISS, Milvus). • Build scalable microservices/APIs for multimodal embedding and retrieval workflows. • Collaborate with data scientists, ML engineers, and platform teams to streamline ETL and orchestration pipelines. • Develop monitoring, logging, and alerting for indexing pipeline health and performance. • Stay updated with emerging GenAI frameworks (OpenAI, Hugging Face, LangChain, LlamaIndex, etc.) and apply them to pipeline improvements.
Job Description • Analyze the current multimodal indexing pipeline to identify performance bottlenecks (latency, scalability, and throughput). • Design and implement GenAI-driven optimizations for data ingestion, preprocessing, embedding generation, vector storage, and retrieval and indexing. • Improve embedding quality and efficiency for diverse modalities (text, image, audio, video). • Integrate and optimize vector databases / retrieval systems (e.g., Weaviate, FAISS, Milvus). • Build scalable microservices/APIs for multimodal embedding and retrieval workflows. • Collaborate with data scientists, ML engineers, and platform teams to streamline ETL and orchestration pipelines. • Develop monitoring, logging, and alerting for indexing pipeline health and performance. • Stay updated with emerging GenAI frameworks (OpenAI, Hugging Face, LangChain, LlamaIndex, etc.) and apply them to pipeline improvements.