Job Description
Role Overview
Seeking an experienced Data Scientist with strong hands-on expertise in Generative AI, Retrieval-Augmented Generation (RAG), and Deep Learning. The role involves building, deploying, and optimizing AI/ML models to solve complex business problems, enhance automation, and develop scalable Gen AI applications.
Key Responsibilities
Develop, fine-tune, and deploy Generative AI models (LLMs, diffusion models, transformers).
Design and implement RAG pipelines using vector databases, embeddings, and retrieval frameworks.
Build, train, and optimize deep learning models for NLP, computer vision, and multimodal tasks.
Create scalable end-to-end ML pipelines for production environments.
Conduct data preprocessing, feature engineering, and experimentation.
Evaluate model performance with appropriate metrics and optimize for accuracy, latency, and efficiency.
Collaborate with engineering, product, and business teams to integrate AI solutions into a...
Seeking an experienced Data Scientist with strong hands-on expertise in Generative AI, Retrieval-Augmented Generation (RAG), and Deep Learning. The role involves building, deploying, and optimizing AI/ML models to solve complex business problems, enhance automation, and develop scalable Gen AI applications.
Key Responsibilities
Develop, fine-tune, and deploy Generative AI models (LLMs, diffusion models, transformers).
Design and implement RAG pipelines using vector databases, embeddings, and retrieval frameworks.
Build, train, and optimize deep learning models for NLP, computer vision, and multimodal tasks.
Create scalable end-to-end ML pipelines for production environments.
Conduct data preprocessing, feature engineering, and experimentation.
Evaluate model performance with appropriate metrics and optimize for accuracy, latency, and efficiency.
Collaborate with engineering, product, and business teams to integrate AI solutions into a...
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