AI Deployment Architect

Role- MLops Lead .

Exp- 9 - 14 Years

Location- Hyderabad .

Core Responsibilities.

Skills & Qualification.

10–14 years of experience in Software Engineering, DevOps, or ML Engineering,

with at least 3+ years focused on MLOps.

Strong experience in AWS cloud services, especially :

Amazon SageMaker (training, deployment, Pipelines, Model Monitor)

S3, Lambda, Step Functions, CodePipeline, ECR, CloudWatch

Proficient in Python and Bash scripting for automation.

Experience with CI / CD tools — such as Jenkins, GitHub Actions, or AWS

CodeBuild.

Hands-on expertise with Docker and container orchestration (ECS or EKS).

Understanding of the machine learning lifecycle — including feature engineering,

training, deployment, and monitoring.

Familiarity with data versioning and model tracking tools.

Strong communication and cross-functional collaboration skills.