Job Title: DevOps Engineer – AI/ML Platform
Experience: 8–12+ years
About the Role
We are seeking a skilled DevOps Engineer with experience in AI/ML infrastructure to design, build, and maintain scalable, secure, and reliable cloud platforms that support AI and machine learning workloads. The ideal candidate will have solid expertise in cloud-native technologies, CI/CD, infrastructure automation, Kubernetes, and MLOps practices.
Key Responsibilities:
Design, implement, and manage cloud infrastructure for AI/ML applications and services.
Build and maintain CI/CD pipelines for application and machine learning model deployments.
Automate infrastructure provisioning using Infrastructure as Code (IaC) tools.
Deploy and manage containerized workloads using Kubernetes.
Implement MLOps workflows for model training, validation, deployment, and monitoring.
Optimize cloud resources for performance, scalability, and cost efficiency.
Monitor platform health, troubleshoot production issues, and ensure high availability.
Implement security best practices, including secrets management, IAM,



and compliance controls.
Collaborate with data scientists, ML engineers, software developers, and platform teams.
Establish observability solutions using logging, monitoring, and tracing tools.
Required Skills:
DevOps & Cloud
Strong experience with at least one major cloud platform:
Amazon Web Services (AWS)
Microsoft (Azure)
Google (GCP)
Expertise in Linux system administration.
Experience with containerization technologies such as:
Docker
Kubernetes
Strong knowledge of Infrastructure as Code:
Terraform
Ansible
CI/CD tools such as:
Jenkins
GitHub Actions
GitLab CI/CD
AI / MLOps
Experience supporting AI/ML workloads in production.
Knowledge of MLOps frameworks and tools:
MLflow
Kubeflow
Experience with model deployment, model serving, and monitoring.
Understanding of GPU-based infrastructure and distributed training environments.
Familiarity with vector databases, LLM applications, and generati

📌 Cloud Platform Engineer (Hyderabad)
🏢 State Street
📍 Hyderabad