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Machine Learning Ops engineer- AWS @ Hyrezy Talent

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 Machine Learning Ops engineer- AWS

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 Description

Essentials

  • 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 have

Familiarity or experience with Kubeflow pipelines

Employement Category:

Employement Type: Full time
Industry: IT - Software
Role Category: DBA / Datawarehousing
Functional Area: Not Applicable
Role/Responsibilies: Machine Learning Ops engineer- AWS &

Contact Details:

Company: HyrEzy Talent
Location(s): Delhi, NCR

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₹ 14 - 20 Lakh/Yr

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Hyrezy Talent

HyrEzy Talent Solutions It is a one of the fastest growing big-data platform in the region, wherein its Technology Platform is driven by Deep Insights derived from Purchase Behavior. The Proprietary Engine of the Platform is powered by ML, Deep Learning & AI, designed by some of the leading ...