CI/CD and Docker Engineer-AI Automation/ MLflow/GPU

Must Have Technical/Functional Skills

• 10+ years in DevOps/platform engineering with strong CI/CD and Docker delivery.

• Hands-on pipeline-as-code, container build, registry, security-scanning, and release automation.

• Experience supporting Python/data/ML workloads, not only web applications.

Good to Have

Kubernetes, GitHub Actions/Azure DevOps/Jenkins/GitLab, Terraform, Helm, MLflow, GPU

containers, or cloud-native deployment.

Roles & Responsibilities

Build secure, repeatable delivery pipelines and containerized runtime environments for data

pipelines, AI automation, model workflows, and supporting services.

• Design CI/CD pipelines for code, data-pipeline components, ML workflows, containers,

configuration, and infrastructure.

• Create hardened Docker images, dependency controls, artifact/version management, vulnerability

scanning, and promotion workflows.

• Automate unit, integration, data-quality, security, and deployment checks.

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Implement environment configuration, secrets handling, rollback, release evidence, and

observability.

Generic Managerial Skills, If any

Partner with repository, testing, security, platform, and engineering teams to standardize deliver.