Data architect

Job ID: 20949816

Core skills: Strong Python skills including libraries like LangChain, LangIndex, PyTorch, SageMaker SDK, psycopg2Experience with Docker and AWS ECRStrong AWS experience with the following services: Bedrock SageMakerIAMGlueS3LambdaCodeCommit and Code PipelineExperience creating quick apps using Streamlit, NodeJS, or some other app framework Education and or experience in developing NLP models for text classification, completion, summarization, generation Experience using embeddings models to create vector embeddings and working with vector databases Understanding of RAG architecture, retrieval optimization, and tradeoffs of splitting methods Familiarity with benchmarks for model evaluation and methods of determining vector similarity Experience with scaling Client training workloads using distributed training techniques on GPU and/or developing microservices for AI/Client/GenAI products Data Preprocessing and Analysis: Work with large-scale datasets, preprocess the data, and perform in-depth analysis to derive meaningful insights, patterns, and trends for AI model training. Preferred candidates will have: Real-world experience fine-tuning models, methods of fine-tuning, and data preprocessing for fine-tuningAWS Solutions Architect and or AWS Machine Learning Specialty certifications