Primary Skills: (AI Data Scientist)
- Deep Expertise in the following:
- Large Language Models (LLMs) and Multimodels
- Foundation Model Architectures (Transformers, Encoder/Decoder)
- API integration from providers like (e.g., OpenAI, Cohere).
- Model tuning pipeline development
- Prompt engineering
- Reinforcement learning from human feedback (RLHF).
- Frameworks : PyTorch, TensorFlow,LangChain, LlamaIndex
- Strong programming skills in Python, and experience with data engineering workflows (Spark, Airflow, SQL).
- Hands on experience in
- Fine-tuning & Prompt Engineering (LoRA, PEFT)
- Retrieval-Augmented Generation (RAG) pipelines
- Python: NumPy, Pandas, Scikit-learn, HuggingFace, OpenAI API
- Knowledge of AI ethics, explainability, and governance in generative models