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aws (97369)

AWS Sagemaker

7-10 Years

Full Time Jobs

Market Rate

Pune, Maharashtra, India


Job Description:

Mandate skillsets:

Python, AWS Sagemaker

Detailed JD:

  • Design optimal Cloud Applications and Solution Development.
  • Architecting, Planning and Implementation of cloud infrastructure (end-to-end Data Warehouse and Business Intelligence applications utilizing best practices from Data Architecture, Data Integration and Data Management solutions would be preferred).
  • Prepare data and AI-ML Sandbox for Data Science.
  • Perform hands-on research on new AWS services, as they are made available through AWS partnership.
  • Conduct data wrangling of heterogeneous data using Azure Functions and feature engineering for AI-ML Models.
  • Develop and optimize large enterprise databases and applications.
  • Designing, Installing and Configuring relevant AWS partner applications (along with monitoring utilities).
  • Build / Setup new utilities for efficiently managing AWS services for any implementation.
  • Perform hands-on project implementation using various AWS services including Redshift and Sagemaker.


  • Proficient in building scripts in Python and Linux.
  • Expertise in executing AWS solution in both public and hybrid cloud setup.
  • Hands-on experience on Amazon Web Services public cloud and their various services such as EC2, EBS, S3, SNS, SES, RDS, Sagemaker, Redshift, SFTP, AWS Directory Services, Kinesis, etc.
  • Hands-on experience with building APIs for models, forecasting models AI-ML algorithms (supervised, unsupervised) and solid understanding of statistics.
  • Excellent communication skills (must be able to interface with both technical and business leaders in the organization).


  • AWS Certified Machine Learning Specialty - Certification is mandatory

Duration: 6 Months

Location: GGN / Pune / Chennai

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