AI/MLOps SRE Lead Engineer

Regeneron · Hyderabad

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Role summary

Regeneron seeks an AI/MLOps SRE Lead Engineer in Hyderabad to design and operate resilient ML platforms supporting enterprise-scale AI workloads, LLMs, and cloud-native systems. The role combines site reliability engineering with machine learning operations, focusing on platform reliability, scalability, observability, and technical leadership across multi-cloud environments.

What they're looking for

Bachelor's in Computer Science, Information Technology, Engineering, or related field; Master's preferred
6-8 years of Site Reliability Engineering, Platform Engineering, or DevOps experience in enterprise environments
Hands-on experience across two or more cloud platforms: AWS, GCP, and/or Azure
Deep expertise with ML platforms: Databricks, Amazon SageMaker AI, Dataiku, Google Vertex AI
Strong proficiency in Infrastructure as Code tools: Terraform, Pulumi, AWS CDK
Programming skills in Python, Go, Bash, or similar languages
Experience building enterprise observability platforms using Prometheus, Grafana, Datadog, OpenTelemetry

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 machine learning workloads and AI agents
Develop AI-powered observability solutions with anomaly detection, predictive analytics, and automated remediation
Lead implementation and monitoring of LLMs, RAG pipelines, and AI agent platforms for performance and governance
Mentor engineers and influence SRE, MLOps, and AI operations strategy across the organization

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Date posted5 days ago

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