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Skills Required

aws data ai redshift ml sagemaker python sql engineering etl design architecture security iam encryption compliance model deployment integration visualization tableau strategies governance

Work Mode

On-site

Job Type

Full Time

Job Description

AWS Data & AI

Desired Experience Range: 08 - 10 yrs

Pune


Must-Have:

  • Strong hands-on experience with AWS Data Services:
  • Amazon S3, Glue, Redshift, Athena, Kinesis, EMR.
  • Expertise in AWS AI/ML Services:
  • Amazon SageMaker, Comprehend, Rekognition, Lex, Translate.
  • Proficiency in Python, SQL, and data engineering frameworks.
  • Experience with ETL design, data modeling, and data lake architecture.
  • Familiarity with AWS security best practices (IAM, encryption, compliance).
  • Strong understanding of MLOps and model deployment on AWS.


Good-to-Have:

  • Knowledge of Generative AI and LLM integration using AWS services.
  • Experience with AWS Lambda, Step Functions, and serverless architectures.
  • Exposure to data visualization tools (QuickSight, Tableau).
  • Familiarity with multi-cloud or hybrid cloud strategies.
  • Understanding of AI governance, bias detection, and responsible AI practices.

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Information Technology and Consulting

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