Sr Ai Engineer

Description:

Below the criteria of the AI engineer, we are looking for with the weights:
-Generative AI (GenAI) Development: Implementing LLM-based applications such as RAGs, AI chatbots, and AI agents (20%)
-LLM Frameworks & Libraries: LangChain, Hugging Face Transformers, OpenAI API (10%)
-Fine-Tuning & Model Optimization: Custom fine-tuning of LLMs (LoRA, QLoRA) (10%)
-LLM Security & Privacy: Implementing security best practices in AI applications (5%)
-Prompt Engineering: Optimizing AI responses for different tasks (5%)
-AI Model Pipelines & Deployment: Managing, monitoring, and scaling AI models in production locally(vLLM, TGI, Triton) (10%)
-MLOps & Model Monitoring: for tracking models and performance (5%)
-Programming & Development: Python and AI framework (Pytorch) (5%)
-Scalable AI Deployment: Running AI workloads on local infrastructure (10%)
-Containerization & Orchestration (5%)
-Vector Databases & Knowledge Retrieval: Pinecone, FAISS, ChromaDB (5%)
-API Development & Integration (5%)
-Data Engineering & Preprocessing: Working with structured & unstructured data to extract and clean. (5%)