doodleblue Innovations - AWS Data Engineer - ETL/LLM Models

8 years

0 Lacs

Posted:3 weeks ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Roles And Responsibilities

  • Develop scalable data pipelines for machine learning workflows.
  • Work with large datasets, AWS Glue, Lambda, and S3 for ETL tasks.
  • Integrate AI/ML tools and frameworks like SageMaker and PyTorch.
  • Ensure secure, compliant, and optimized data operations.
  • Collaborate with data scientists and DevOps teams.
  • Improve model outputs using RAG and vector database and Qualifications :
  • 8+ years of experience in AWS data engineering.
  • Proficient in Python/Scala and cloud-native data tools.
  • Experience with LLMs, ML workflows, and re-ranking techniques.
  • Deep understanding of AWS services and AI/ML pipeline integration.
  • Familiarity with SageMaker, Comprehend, and Entity Resolution.
  • Strong analytical, documentation, and presentation skills.
  • Experience in core AWS infrastructure and IAM policies
(ref:hirist.tech)

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