Job Description
Job Description
REQUIREMENTS:
- Total experience 8+ years.
- Deep understanding of LLMs (e.g., GPTs, Llama, Claude, Gemini, Qwen, Mistral, BERT-family models) and their architectures (Transformers)
- Should have expert-level prompt engineering skills and proven experience implementing RAG patterns
- High proficiency in Python and standard AI/ML libraries (e.g., LangChain, LlamaIndex, LangGraph, LangSmith, Hugging Face Transformers, Scikit-learn, PyTorch/TensorFlow).
- Experience implementing RAG architectures and prompt engineering.
- Strong experience with fine-tuning and distillation techniques and evaluation.
- Strong experience using managed AI/ML services on the target cloud platform (e.g., Azure Machine Learning Studio, AI Foundry).
- Strong understanding of vector databases (e.g., Weaviate, Neo4j)
- understanding of GenAI evaluation metrics (e.g., BLEU, ROUGE, perplexity, semantic sim...
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