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AWS Bedrock Developer+Python

AWS Bedrock Developer+Python

Infosys Limited
Fresher
Not Disclosed

This job is no longer accepting applications

Job Description

Key Responsibilities:

  • AWS Bedrock Generative AI
  • Design and build GenAI solutions using AWS Bedrock and foundation models FM such as Amazon Titan Anthropic Claude etc
  • Implement LLM based applications like chatbots summarization engines recommendation systems and document intelligence
  • Apply advanced prompt engineering fine tuning and model evaluation techniques
  • Design RAG Retrieval Augmented Generation pipelines and integrate vector databases
  • Python Development
  • Develop scalable backend systems using Python FastAPI Flask Django
  • Build APIs and microservices to integrate AI ML services into business applications
  • Write efficient scripts for data preprocessing automation and orchestration
  • AWS Cloud Architecture
  • Design cloud native solutions using AWS services Lambda API Gateway S3 EC2 IAM CloudWatch Step Functions
  • Architect secure scalable and highly available systems
  • Optimize cloud cost and performance
  • Ensure data privacy and compliance for AI workloads
  • Data AI Integration
  • Work with structured unstructured datasets for AI applications
  • Build pipelines to integrate external data sources with LLMs
  • Implement vector search embeddings and semantic search capabilities
  • Collaboration Leadership
  • Collaborate with data scientists ML engineers product teams and business stakeholders
  • Lead design discussions and provide technical guidance to junior developers
  • Participate in Agile Scrum development cycles

Technical Requirements:

  • Primary skills Technology Geographical Information System Spatial Databases SQL Server Technology OpenSystem Python OpenSystem

Additional Responsibilities:

  • Preferred Skills
  • Experience with LangChain LlamaIndex or similar frameworks
  • Knowledge of vector databases FAISS Pinecone Weaviate OpenSearch
  • Exposure to Docker Kubernetes and containerization
  • Understanding of ML lifecycle MLOps and model deployment
  • Experience in big data or data engineering tools Glue Redshift Spark

Preferred Skills:

Technology->AI-Generative AI->Generative AI - Basic->closed models (aws bedrock),Technology->OpenSystem->Python - OpenSystem->Python

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