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GenAI Devops Engineer - AWS Bedrock

GenAI Devops Engineer - AWS Bedrock

ConfidentialPune
30+ days ago
Job description

We are seeking a highly experienced GenAI DevOps Engineer to join our dynamic team in Pune. The ideal candidate will have a strong background in building, deploying, and optimizing Generative AI applications on AWS Bedrock, along with expertise in DevOps practices. You will be responsible for automating infrastructure, managing CI / CD pipelines, and ensuring high performance and reliability of AI models.

Key Responsibilities :

Design, develop, and deploy Generative AI applications leveraging AWS Bedrock and SageMaker.

  • Automate infrastructure provisioning and deployment processes.
  • Build and maintain robust CI / CD pipelines using CodePipeline and CodeBuild.
  • Monitor application and model performance using CloudWatch, Prometheus, and Grafana.
  • Optimize AI models for performance, scalability, and cost-efficiency.
  • Work with RAG (Retrieval-Augmented Generation) tools such as LangChain, Haystack, and LlamaIndex for building advanced AI solutions.
  • Collaborate with data scientists and developers to streamline model deployment and monitoring.

Required Skills :

  • Extensive hands-on experience with AWS Bedrock and SageMaker.
  • Strong expertise in CI / CD tools : CodePipeline, CodeBuild.
  • Proficiency with monitoring tools : CloudWatch, Prometheus, Grafana.
  • Experience with RAG frameworks like LangChain, Haystack, and LlamaIndex.
  • Solid understanding of DevOps best practices and automation.
  • Ability to troubleshoot and optimize AI deployment pipelines.
  • Excellent problem-solving and communication skills.

    • Preferred Skills :

  • Knowledge of containerization (Docker, Kubernetes).
  • Familiarity with scripting languages (Python, Bash).
  • Experience with cloud security best practices.
  • Understanding of machine learning lifecycle management.

    • Mandatory Skills :

  • AWS Bedrock and SageMaker expertise.
  • CI / CD pipeline automation.
  • Monitoring and performance optimization.
  • RAG-based application development.

    • Skills Required

    Docker, Python, Bash

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