AI/MLOps SRE Lead Engineer

Regeneron · Hyderabad

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IT & SoftwareFull-timeCompany career page

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What they're looking for

Bachelor's degree in Computer Science, IT, Engineering, Data Science, or related field
6-8 years of Site Reliability Engineering, Platform Engineering, or DevOps experience at enterprise scale
Hands-on expertise across two or more cloud platforms: AWS, GCP, or Azure
Deep knowledge of ML platforms: Databricks, SageMaker AI, Dataiku, Vertex AI
Advanced proficiency with Infrastructure as Code tools: Terraform, Pulumi, AWS CDK
Strong programming skills in Python, Go, Bash, or similar languages
Demonstrated expertise building enterprise observability and anomaly detection solutions

What you'll be doing

Establish and maintain SLOs, SLIs, error budgets, and reliability standards across multi-cloud environments
Design and scale enterprise ML platform infrastructure supporting LLMs, AI Agents, and automation
Develop AI-driven observability with anomaly detection, predictive analytics, and automated remediation
Lead MLOps platform implementation including CI/CD pipelines, Infrastructure as Code, and self-healing systems
Mentor engineering teams and drive reliability engineering and cloud platform strategy across the organization

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Date posted4 days ago

Last source check1 day ago

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