Sagemaker DevOps Engineer

Reposted Yesterday
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Hiring Remotely in India
Remote
Senior level
Artificial Intelligence • Information Technology
The Role
The Sagemaker DevOps Engineer will architect and automate the ML environment in SageMaker, ensuring scalability and cost control through DevOps practices.
Summary Generated by Built In

Where elite tech talent meets world-class opportunities!

At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today’s most complex challenges.

Location: Remote (Inda)

Experience: 5-7 years

Employment Type: (Contractor/Full-time)

Overview
The Sagemaker DevOps Engineer acts as the bridge between standard infrastructure and the specialized needs of Machine Learning (ML). Your primary goal is to take the "manual" out of ML. You will be responsible for architecting the environment (SageMaker), ensuring it scales across an enterprise, and automating the journey a model takes from a developer's laptop to a production environment.

Responsibilities

  • Build DevOps automations to setup Sagemaker Unified Studio for enterprise
  • Implement Sagemaker Lifecycle configurations
  • Create CICD pipelines for end-users to deploy custom Docker images & Kernels in Sagemaker
  • Build alert & monitoring capabilities for Sagemaker projects to control costs and service quotas
  • MLOps automations for model and infrastructure deployments to higher environments

Requirements
  • From 5-7 years of experience in a relevant role
  • Expert level in AWS and Python
  • Working knowledge with Sagemaker
  • Experience building DevOps automations for enterprise
  • Preferred to have experience building Jenkins pipelines
  • Preferred to have experience with MLOps automations

Skills Required

  • 5-7 years of experience in a relevant role
  • Expert level in AWS and Python
  • Working knowledge with Sagemaker
  • Experience building DevOps automations for enterprise
  • Preferred to have experience building Jenkins pipelines
  • Preferred to have experience with MLOps automations
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The Company
11 Employees

What We Do

Xenon7 delivers specialized AI operations, AI products and services. Our innovation practice helps you separate initiatives warranting business investment from hype. We operate free from the bloat, weight and pyramidal structure of legacy consulting firms. Xenon7 enables our clients to make better human and technology decisions, and ethically achieve more with less

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