GenAI Architect

Primary Skills 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 Secondary Skills Experience with vector databases (e.g., FAISS, Weaviate, Pinecone) and scalable RAG systems Familiarity with GPU compute infrastructure and distributed model training MLOps for LLMs: Deployment, Monitoring, Versioning Classical Machine learning like Supervised Learning, UnSupervised learning models #J-18808-Ljbffr TechDigital Group