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 GenAI 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. ...

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