Job Description
Years of Experience : 4 - 6 years
Must have Skills : Python (Strong), Generative AI Fundamentals (Strong), Machine Learning on Azure (Strong),
Job Description :
- Design, develop, and deploy applications leveraging LLMs (e.g., GPT, LLaMA, Claude, Gemini, Mistral, BERT-family).
- Implement RAG pipelines integrating LLMs with vector or graph databases (e.g., Weaviate, Neo4j) for knowledge-grounded responses.
- Apply prompt engineering and prompt optimization techniques to enhance LLM performance.
- Perform fine-tuning, model distillation, and evaluation using standard GenAI metrics (BLEU, ROUGE, perplexity, semantic similarity, etc.).
- Develop and maintain robust AI workflows using frameworks such as LangChain, LlamaIndex, LangGraph, LangSmith, and Hugging Face Transformers.
- Collaborate with teams to integrate AI models into scalable production systems.
- Monitor model performance, troubleshoot issues, and continuously optimize inference pipelines.
- Stay up to date with emerging trends and research in Generative AI, Transformers, and LLM architectures.
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