Full-time
Machine Learning Engineer (MLOPS)
Posted by Crescendo Global • Hyderabad, Telangana, India
About the Role
Hiring: MLOps Platform Engineer (DevOps & MLOps & AWS) Location: Hyderabad & Gurgaon (70% remote, i.e., once in a month need to travel)
We are looking for a high-impact MLOps Platform Engineer to own deployment, infrastructure, observability, and cost governance across our Agentic AI Platform.
Key Responsibilities:
Build Infrastructure as Code (Terraform / AWS CDK)
Implement CI/CD (CodePipeline, GitHub Actions, GitLab CI)
Configure observability using CloudWatch & OpenTelemetry
Manage model/prompt versioning & environment isolation
Containerization using Docker, ECS Fargate, or EKS
Track & optimize platform costs
Must Have:
7+ years total experience
3+ years in MLOps pipelines & workflows
Strong AWS expertise
Hands-on container orchestration (Kubernetes preferred)
Strong focus on reliability & cost efficiency
Preferred:
AWS Solutions Architect (Associate/Professional)
Kubernetes/CNCF Certifications
We are looking for a high-impact MLOps Platform Engineer to own deployment, infrastructure, observability, and cost governance across our Agentic AI Platform.
Key Responsibilities:
Build Infrastructure as Code (Terraform / AWS CDK)
Implement CI/CD (CodePipeline, GitHub Actions, GitLab CI)
Configure observability using CloudWatch & OpenTelemetry
Manage model/prompt versioning & environment isolation
Containerization using Docker, ECS Fargate, or EKS
Track & optimize platform costs
Must Have:
7+ years total experience
3+ years in MLOps pipelines & workflows
Strong AWS expertise
Hands-on container orchestration (Kubernetes preferred)
Strong focus on reliability & cost efficiency
Preferred:
AWS Solutions Architect (Associate/Professional)
Kubernetes/CNCF Certifications
Ready to Apply?
Submit your application today and take the next step in your career journey with Crescendo Global.
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