DevOps Engineer

Job Title: AWS DevOps Engineer (AI/ML)

Location: Bengaluru, India

Experience: 7–10 Years

Work Model: Hybrid (3 Days WFO)

Company: Turing

Job Summary

We are looking for an AWS DevOps Engineer with AI/ML exposure to build and manage scalable cloud infrastructure for AI-driven applications. The role involves deploying ML models, managing CI/CD pipelines, and ensuring reliable production environments.

Key Responsibilities

• Build and maintain AWS cloud infrastructure
• Implement CI/CD pipelines for applications and ML models
• Deploy and monitor AI/ML models in production
• Automate infrastructure using Terraform or CloudFormation
• Manage Docker and Kubernetes (EKS) environments
• Monitor system performance using CloudWatch and observability tools
• Ensure security, scalability, and cost optimization
• Collaborate with data scientists and development teams

Required Skills

• Strong experience with AWS (EC2, S3, RDS, Lambda, IAM, VPC)
• Hands-on with Docker, Kubernetes, CI/CD tools
• Experience with Terraform/CloudFormation
• Knowledge of Python or Bash scripting
• Understanding of distributed systems and networking

Preferred

• MLOps experience
• Monitoring tools like Prometheus or Grafana
• Experience with multi-region deployments and disaster recovery.