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Senior MLOps Engineer @ Blend360 India

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 Senior MLOps Engineer

Job Description

We are seeking a highly skilled AWS MLOps Engineer with a overall experience 5 years with 3 years as ML Engineer particularly in building and managing ML pipelines in AWS. The ideal candidate has successfully built and deployed at least two MLOps projects using Amazon SageMaker or similar services, with a strong foundation in infrastructure as code and a keen understanding of MLOps best practices.
Key Responsibilities:
  • Maintain and enhance existing ML pipelines in AWS with a focus on Infrastructure as Code using CloudFormation.
  • Implement minimal but essential pipeline extensions to support ongoing data science workstreams.
  • Document infrastructure usage, architecture, and design using tools like Confluence, GitHub Wikis, and system diagrams.
  • Act as the internal infrastructure expert, collaborating with data scientists to guide and support model deployments.
  • Research and implement optimization strategies for ML workflows and infrastructure.
  • Work independently and collaboratively with cross-functional teams to support ML product deployment and re-platforming initiatives.
  • 5+ years of hands-on DevOps experience with AWS Cloud.
  • Proven experience with at least two MLOps projects deployed using SageMaker or similar AWS services.
  • Strong proficiency in AWS service

Job Classification

Industry: Industrial Automation
Functional Area / Department: Engineering - Software & QA
Role Category: DevOps
Role: Site Reliability Engineer
Employement Type: Full time

Contact Details:

Company: Blend360 India
Location(s): Hyderabad

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Keyskills:   Automation Usage github Version control GIT data science Infrastructure Management AWS Python

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Blend360 India

BLEND360 is an award-winning, new breed Data Science Solutions Company focused on powering exceptional results to our Fortune 500/1000 clients and other organizations. We are a hyper growth company - born at the intersection of advanced analytics, data and technology. ...