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ML Ops Engineer - Lead

ML Ops Engineer - Lead

Blend360 India

6 - 11 years

7 - 11 Lacs

Hyderabad

Posted:3 hours ago| Platform:

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Skills Required

System architecture Automation Version control GIT Architecture Infrastructure management Storage management Machine learning Monitoring Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are seeking a highly skilled Lead MLOps Engineer with 6+ years of hands-on experience in DevOps/MLOps, including 3+ years in building and managing machine learning pipelines, specifically in on-premises environments. The ideal candidate will have successfully delivered at least two end-to-end MLOps projects on on-prem infrastructure or private cloud, with expertise in automation, infrastructure management, and MLOps best practices. Key Responsibilities Design, build, and maintain scalable ML pipelines in on-premises environments, ensuring high availability and reliability. Implement and manage Infrastructure as Code (IaC) using tools like Ansible, Terraform (for private cloud), or Puppet for development, testing, and production setups. Extend and enhance existing ML workflows to support evolving data science needs with minimal but impactful changes. Act as the infrastructure and MLOps SME, collaborating with data scientists to guide and support model deployment and operationalization. Document system architecture, infrastructure usage, and design via tools like Confluence, GitHub Wikis, and architectural diagrams. Research and implement optimizations for ML workflows, compute resource utilization, and storage management. Lead cross-functional initiatives related to ML product deployment, re-platforming, and modernization efforts in the on-prem environment. 6+ years of hands-on DevOps / MLOps experience in on-premises or private cloud environments. Proven track record delivering at least two end-to-end MLOps projects on on-prem infrastructure or private cloud. <

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Blend360 India

blend360.com

Consulting / Data Analytics

Bangalore

N/A Employees

96 Jobs

Key People

Tarique Anwar

CEO
Diane Rommeli

CFO
Mike Harris

COO

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ML Ops Engineer - Lead

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