Senior Devops (ML) Engineer

Overview

Key Responsibilities:

AWS Services: Expertise in designing, deploying, and managing scalable cloud infrastructure using AWS.

Terraform: Proficiency in Infrastructure as Code (Terraform) to automate resource provisioning and management.

CI/CD Pipelines: Implementation of continuous integration and deployment workflows for seamless application delivery.

Kubernetes: Experience in container orchestration, scaling, and managing workloads using Kubernetes (EKS).

MLOps Best Practices: Knowledge of machine learning operations, including model deployment, monitoring, and automation.

Amazon Bedrock: Leverage Amazon Bedrock for integrating and optimizing generative AI solutions to enhance AI-driven applications.

Skills Required - Amazon Bedrock, SageMaker, and Amazon Q.

Job Type: Full-time

Pay: Up to ₹2,000,000.00 per year

Schedule:

• Day shift

Experience:

• Machine learning: 3 years (Preferred)

Work Location: In person