
MLOps Engineer
2 days ago
Role
Key Responsibilities
- Manage and automate AWS infrastructure using tools like Terraform/CDK/CloudFormation
- Set up CI/CD pipelines for AI/ML model training and inference workflows
- Optimize GPU and EC2 usage for high-performance computing workloads
- Monitor infrastructure health, cost, and security
- Collaborate with AI/ML teams to deploy models using SageMaker, ECS, EKS, or Lambda
- Manage IAM roles, VPCs, networking, and data storage (S3, EFS, FSx)
Required Skills
- 3+ years of AWS DevOps experience
- Proficiency in infrastructure-as-code tools
- Hands-on with Docker, GitHub Actions, Jenkins, or similar
- Experience managing GPU instances and AI pipelines (e.g., SageMaker, Deep Learning AMIs)
- Strong knowledge of Linux, networking, and cloud security best practices
Preferred
- Exposure to ML Ops tools (MLflow, Kubeflow)
- AWS Certifications (DevOps Engineer, Solutions Architect & responsibilities
Preferred candidate profile
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