Senior ML Platform Engineer
Bengaluru · Senior
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HIGH
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Job description
- Own and operate production infrastructure for ML/LLM serving systems.
- Build and manage infrastructure-as-code using Terraform across GKE/Kubernetes environments.
- Manage IAM, secrets, and networking configurations securely at scale.
- Build and maintain CI/CD pipelines for ML and platform services.
- Establish observability and autoscaling for production ML/LLM workloads.
- Lead production incident management, ensuring reliability and fast recovery.
- Operate as a senior hands-on IC, available to start quickly on a contract basis.
Open Positions
1
Skills Required
GKE,Kubernetes,Terraform,IAM/Secrets/Networking,CI/CD,Observability & Autoscaling,ML/LLM Serving,Incident Management
Role
- Deep hands-on experience with GKE and Kubernetes.
- Strong experience with Terraform for infrastructure-as-code.
- Experience managing IAM, secrets, and networking at production scale.
- Proven experience building and maintaining CI/CD pipelines.
- Strong background in observability and autoscaling practices.
- Experience serving ML/LLM workloads in production.
- Demonstrated production incident management experience.
Years Of Exp
6 to 9 years
Designation
Senior Data Scientist
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