- Experience with Generative AI and Large Language Models (LLMs).
- Hands-on experience with RAG (Retrieval-Augmented Generation) architectures.
- Experience with LangChain or LlamaIndex.
- Knowledge of vector databases such as Pinecone, FAISS, Weaviate, or ChromaDB.
- Familiarity with CI/CD and automated ML workflows.
- Experience building scalable, distributed ML systems.
- Knowledge of model explain ability techniques such as SHAP and LIME.
- Experience with prompt engineering and LLM fine-tuning.
📌 Ml Engineer (Hyderabad)
🏢 SRS Business Solutions (India
📍 Hyderabad
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