AI/MLOps SRE Lead Engineer
Regeneron Pharmaceuticals, Inc. (company site, opens in a new tab)6–8 yrsHyderabadHybridDirect career pageEst. 30–48 LPA
Posted on 25 Aug
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Job description
Structured overview of role & requirements
About This Role
- Lead reliability, scalability, and operational excellence for AI/ML and cloud platform infrastructure across multi-cloud environments.
- Design, build, and scale enterprise ML platforms (e.g., Dataiku, SageMaker, Databricks, Vertex AI) and AI/ML observability and automation solutions.
- Architect and implement Infrastructure as Code, CI/CD pipelines, self-healing systems, ChatOps integrations, and guide platform modernization and technical strategy.
Minimum Requirements
- Bachelor's degree in Computer Science, IT, Engineering, Data Science, AI, or related field; Master's preferred.
- 6-8 years experience in Site Reliability Engineering, Platform Engineering, DevOps, or related fields with enterprise-scale delivery.
- Strong hands-on experience with two or more major cloud platforms including AWS, GCP, or Azure.
- Proficiency with ML platforms (Dataiku, SageMaker AI, Databricks, Vertex AI), Infrastructure as Code (Terraform, Pulumi, AWS CDK), and programming in Python, Go, or Bash.
Ideal Candidate Profile
- Experienced leader in reliability engineering for AI/ML platforms with deep knowledge of enterprise-grade ML workflows and cloud-native technologies.
- Skilled in designing observability, anomaly detection, predictive analytics, automated remediation, and ChatOps integrated operational workflows.
- Proven ability to assess technical debt, influence platform strategy, implement platform modernization, and mentor technical teams in SRE and MLOps domains.