AI Pipeline Dockerfile Validation Engineer

OpenTrain AI; Islamabad; Remote; PKR 2,790,000 - 5,022,000; Full time

Benefits offered by this job

Part-time contractor

Remote work

Job summary

OpenTrain AI is recruiting a Dockerfile Data Validation Engineer to build and maintain validation workflows inside Docker-based build pipelines supporting advanced AI systems. You will help ensure datasets, schemas, and model artifacts meet quality and compliance before deployment.

The role focuses on reliable, reproducible containerized data pipelines, combining Docker configuration, metadata standards, scripting, and automated quality controls while collaborating across data engineering, ML,

Qualifications

• At least four years of DevOps experience.
• Strong experience designing and optimizing Dockerfiles.
• Proficiency with Python or Bash for validation scripting.
• Knowledge of data formats, schemas, and validation tools.
• Experience integrating checks into CI/CD systems.

Responsibilities

• Develop and optimize Dockerfiles with data-validation steps.
• Implement Docker LABEL metadata for datasets and lineage.
• Create Python or Bash scripts for schema checks, data integrity, and quality control.
• Integrate validation into CI/CD pipelines.
• Enforce fail-on-bad-data checks.
• Document Dockerfile labeling, validation logic, and data-governance standards.
• Collaborate across data engineering, machine learning, and DevOps workflows.

Skills

DevOps

Docker

Python

Bash

CI/CD

Data validation

Tools

Docker

Kubernetes

CI/CD

Job description

OpenTrain AI is recruiting a Dockerfile Data Validation Engineer to build and maintain validation workflows inside Docker-based build pipelines supporting advanced AI systems. You will help ensure datasets, schemas, and model artifacts meet quality and compliance before deployment.

The role focuses on reliable, reproducible containerized data pipelines, combining Docker configuration, metadata standards, scripting, and automated quality controls while collaborating across data engineering, ML,