Job Description

  • Build and maintain scalable AI/ML pipelines for pretraining, fine-tuning, inference, and continuous learning, integrating advanced data preprocessing and retrieval-augmented generation (RAG) techniques.
  • Develop APIs and embeddings-based integrations to seamlessly connect LLMs and GenAI models with enterprise applications, knowledge bases, and workflows.
  • Implement prompt engineering and model orchestration strategies to enhance performance, control AI behaviour, and mitigate hallucinations in production environments.
  • Monitor, evaluate, and troubleshoot AI models for performance, fairness, and compliance, leveraging automated feedback loops, human-in-the-loop (HITL) frameworks, and explainability techniques.
  • Conduct research on the latest advancements in GenAI and LLM architectures (Mixture of Experts, Transformer optimizations, multimodal models, etc.) to drive innovation and refine AI strategy.
  • Collaborate with data engineering and M...

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