• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 21st Dec 2023

Core skills:

• Strong Python skills including libraries like LangChain, LangIndex, PyTorch, SageMaker SDK, psycopg2
• Experience with Docker and AWS ECR
• Strong AWS experience with the following services:
• Bedrock
• SageMaker
• IAM
• Glue
• S3
• Lambda
• 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