Senior Data Scientist with ML/AI/ GenAI
Core skills:
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:
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 Senior Data Scientist with ML/AI/ GenAI Recommended Skills Architecture Artificial Intelligence Benchmarking Databases Docker Machine Learning Estimated Salary: $20 to $28 per hour based on qualifications.
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:
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 Senior Data Scientist with ML/AI/ GenAI Recommended Skills Architecture Artificial Intelligence Benchmarking Databases Docker Machine Learning Estimated Salary: $20 to $28 per hour based on qualifications.
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