- Solid Python plus ML libraries: scikit-learn, PyTorch or TensorFlow, pandas.
- Hands-on with Azure ML, Azure OpenAI and Azure AI Search.
- LLM models: hands-on with OpenAI GPT-4o / GPT-4.1 / o-series, Meta Llama 3, Mistral, Microsoft
Phi-3/Phi-4 and embedding models (text-embedding-3), plus Hugging Face Transformers. Should know
how to pick the right model for cost, latency and accuracy.
- Real GenAI work: RAG, prompt engineering, fine-tuning (LoRA/PEFT), and frameworks like LangChain,
Semantic Kernel or LlamaIndex.
- Working knowledge of Azure infrastructure: compute, storage, networking basics, Key Vault and