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Machine Learning Ops engineer- AWS & Kubernetes

8.00 to 13.00 Years   Delhi   26 Feb, 2021
HyrEzy Talent Solutions LLP
Job LocationDelhi
EducationNot Mentioned
SalaryRs 14 - 20 Lakh/Yr
IndustryIT - Software
Functional AreaDBA / Datawarehousing
EmploymentTypeFull-time

Job Description

Job Profile - Machine Learning Ops engineer

  • Location: Work from Home Profile (Full Time)
  • Working days: 5 Days, Normal day shift
  • Experience 8 Years to 15 Years
  • CTC 14 to 18 LPA
  • Interview process: Virtual
Job DescriptionEssentials
  • A Post Graduate or Graduate certificate with a specialization in computer science or other engineering programs
  • Expert knowledge of containers and container management technologies like Docker, Kubernetes
  • Experience in setting up EKS cluster
  • Experience leveraging and managing CI/CD toolchain products like Jira, STASH, Git, and Jenkins.
  • Expertise on using AWS and GCP cloud platforms
  • Candidate should be senior to lead the team and provide solution design independently
  • Candidates should be comfortable working with large datasets, analyzing them and proposing the best possible solutions
Must Have
  • Experienced in creating end-to-end data pipelines (migrate data from on source to destination)
  • Experienced in developing end-to-end machine learning pipelines (including data cleaning, feature engineering, training and model deployments)
  • Experienced with Amazon Sage maker
Nice to haveFamiliarity or experience with Kubeflow pipelines

Keyskills :
kuberneteskubeflowml pipelineaws aws - sagemaker

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