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Python AWS - Senior Engineer @ Iris Software

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 Python AWS - Senior Engineer

Job Description

  • Strong Python and ML development background
  • Working knowledge of ML frameworks such as scikit-learn
  • 2+ years experience in building/operating ML Solutions on AWS Sagemaker (Sagemaker SDK for jobs and experiments)
  • Hands-on experience in Docker and Kubernetes
  • Good understanding of AWS services related to Sagemaker (S3, Glue, ECR and ECS etc)
  • Develop Operational Guides, Reference Implementations, Develop new and contribute to existing/new tools

Soft skills

Collaborate with cross team members and cloud teams to build a cohesive MLOps experience on AWS Focus on Quality and ability to adapt to new technologies quickly Excellent communication skills

Nice to have

AWS CDK / Cloud formation stack

Mandatory Competencies
Data Science and Machine Learning - Data Science and Machine Learning - Python
Beh - Communication
Cloud - AWS - AWS S3, S3 glacier, AWS EBS
DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Containerization (Docker, Kubernetes)
Cloud - AWS - AWS SDKs, AWS CLI, AWS CloudFormation, AWS Cloudshell, AWS Cloud Development Kit
Data Science and Machine Learning - Data Science and Machine Learning - AWS Sagemaker

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Platform Engineer
Employement Type: Full time

Contact Details:

Company: Iris Software
Location(s): Noida, Gurugram

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Keyskills:   python aws sagemaker machine learning data science ml kubernetes cli amazon vpc scikit-learn glue cloud development aws cloudformation aws cli docker containerization configuration management ecs aws cloud cloud applications devops ebs html aws

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Iris Software

Iris Software Inc.