1. Experience with Generative AI frameworks and LLMs (e.g., OpenAI, Gemini, Hugging Face).
2. Hands-on experience in RAG implementation, including:
3. Vector databases (e.g., FAISS, Pinecone, Weaviate)
4. Embedding models and retrieval strategies
5. Experience in building and consuming REST APIs / microservices.
6. Knowledge of PySpark and distributed data processing.
7. Understanding of ML fundamentals (supervised/unsupervised learning, evaluation metrics).
8. Familiarity with prompt engineering and LLM optimization techniques.
9. Experience with AI platform services (e.g., Vertex AI, Azure AI, AWS Bedrock/SageMaker).
📌 AI Developer with LLM, RAG and Python (Hyderabad)
🏢 PwC
📍 Hyderabad
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