| Python developer with LLM and AWS at Remote, Remote, USA |
| Email: [email protected] |
| From: Anand, Synkriom [email protected] Reply to: [email protected] share resume with BAID Details. Role name:DeveloperRole Description:Strong experience with AWS cloud.Experience with building scalable serverless application (real-time / batch) on AWS stack (Lambda + step function)Experience with LLM orchestration Langchain is a must. DSPY and LlamaIndex is a plus. Experience with CI/CD pipelines, Automated Testing, Automated Deployments, Agile methodologies, Unit Testing and Integration Testing tools.Experience with AWS OpenSearch, DynamoDB, SageMaker, API Gateways, ECS/Docker is a plus.Experience in customization techniques across various stages of the RAG pipeline, including model fine-tuning, retrieval re-ranking.Experience in embedding models, ANN/KNN, vector stores, database optimization, performance tuning, Retry/Circuit breaker (TPM/RPM).Extensive programming experience with Python.Basic understanding of Natural Language Processing, and Deep LearningCompetencies:Digital : Python, Design for GenAIExperience (Years):8-10Essential Skills:Experience with LLM orchestration Langchain is a must. DSPY and LlamaIndex is a plus. Extensive programming experience with Python.Desirable Skills:Strong experience with AWS cloud.Experience with building scalable serverless application (real-time / batch) on AWS stack (Lambda + step function)Experience with LLM orchestration Langchain is a must. DSPY and LlamaIndex is a plus. Experience with CI/CD pipelines, Automated Testing, Automated Deployments, Agile methodologies, Unit Testing and Integration Testing tools.Experience with AWS OpenSearch, DynamoDB, SageMaker, API Gateways, ECS/Docker is a plus.Experience in customization techniques across various stages of the RAG pipeline, including model fine-tuning, retrieval re-ranking.Experience in embedding models, ANN/KNN, vector stores, database optimization, performance tuning, Retry/Circuit breaker (TPM/RPM).Extensive programming experience with Python.Basic understanding of Natural Language Processing, and Deep Learning Keywords: continuous integration continuous deployment Python developer with LLM and AWS [email protected] |
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| Mon Apr 29 18:55:00 UTC 2024 |