Posted:3 weeks ago|
Platform:
On-site
Full Time
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.
Zyoin Group
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