Sr Data Scientist GenAI
Sr Data Scientist GenAI
Posted on :
18-10-2024
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Job Description
Job Title : Sr. Data Scientist GenAI
Job Locations: Remote doable/Santa Clara USA open for other locations in CA
Visa: GC and USC
Required Experience: 7 10 Years Minimum 7 years of experience in DS
Job Type FTE (Open for Contract for deserving candidates only)
Skills : Python Langchain AWS AWS Bedrock OpenSearch
Job Locations: Remote doable/Santa Clara USA open for other locations in CA
Visa: GC and USC
Required Experience: 7 10 Years Minimum 7 years of experience in DS
Job Type FTE (Open for Contract for deserving candidates only)
Skills : Python Langchain AWS AWS Bedrock OpenSearch
Excellent communication skills
Please make sure their LinkedIn is up to date
Please dont share the resumes if they dont have the required skills and also you can discuss the rate with me if the candidate is coming at a higher cost. We can decide on case to case base.
Please make sure their LinkedIn is up to date
Please dont share the resumes if they dont have the required skills and also you can discuss the rate with me if the candidate is coming at a higher cost. We can decide on case to case base.
Responsibilities:
Interface with customer and own the technical architecture approach and design of the solution.
Design and deploy generative AI models using AWS Bedrock for productionready solutions.
Architect serverless RAG (RetrievalAugmented Generation) systems with a focus on embeddings chunking strategies and efficient retrieval mechanisms.
Deep understanding of AWS Lambda and ability to host the RAG application components on AWS Lambda.
Drive metricdriven development focusing on model optimization retrieval latency and embedding quality.
Optimize model performance ensuring lowlatency query handling and improve search/indexing with Vector Databases
Ensure security best practices across data ingestion storage and AI pipelines.
Interface with customer and own the technical architecture approach and design of the solution.
Design and deploy generative AI models using AWS Bedrock for productionready solutions.
Architect serverless RAG (RetrievalAugmented Generation) systems with a focus on embeddings chunking strategies and efficient retrieval mechanisms.
Deep understanding of AWS Lambda and ability to host the RAG application components on AWS Lambda.
Drive metricdriven development focusing on model optimization retrieval latency and embedding quality.
Optimize model performance ensuring lowlatency query handling and improve search/indexing with Vector Databases
Ensure security best practices across data ingestion storage and AI pipelines.
MustHave Skills:
Architecting solutions on AWS platforms
Expertise in AWS Platform including Amazon Kendra AWS Bedrock RAG architecture AWS Lambda AWS S3 OpenSearch and embedding techniques.
Experience with large language models (LLMs) chunking strategies and retrieval optimizations.
Strong knowledge of serverless computing data security and API development.
Architecting solutions on AWS platforms
Expertise in AWS Platform including Amazon Kendra AWS Bedrock RAG architecture AWS Lambda AWS S3 OpenSearch and embedding techniques.
Experience with large language models (LLMs) chunking strategies and retrieval optimizations.
Strong knowledge of serverless computing data security and API development.
GoodtoHave Skills:
Knowledge of Salesforce integration OpenSearch/ Kendra management Langchain and AI governance.
Knowledge of Sagemaker LLMOps and LLM Fine tuning.
Familiarity with AWS MLOps tools AIdriven chatbot implementations and embeddingbased retrieval systems.
Knowledge of Salesforce integration OpenSearch/ Kendra management Langchain and AI governance.
Knowledge of Sagemaker LLMOps and LLM Fine tuning.
Familiarity with AWS MLOps tools AIdriven chatbot implementations and embeddingbased retrieval systems.
Employment Type
Full Time
Key Skills
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