Job Description:

Core skills:

GenAI

Strong Python skills including libraries like LangChain, LangIndex, PyTorch, SageMaker SDK, psycopg2

Experience with Docker and AWS ECR

Strong AWS experience with with the following services:

o Bedrock

o SageMaker

o IAM

o Glue

o S3

o Lambda

o CodeCommit and CodePipeline

Experience 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 ML training workloads using distributed training techniques on GPU and/or developing microservices for AI/ML/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-tuning

AWS Solutions Architect and or AWS Machine Learning Specialty certifications