AIOps Intern: Build DataOps & MLOps Pipelines

Aumovio SE; Singapore; On-site; SGD 13,000 - 20,000; Full time

Job summary

Aumovio SE is seeking an AIOps Intern to join our AI and data platforms team in Singapore. You will gain hands-on experience in DataOps and MLOps while contributing to scalable AI solutions. Collaborate with engineers to explore tools, build data pipelines, and improve data workflows.

You will design database schemas, implement data quality checks, and monitor data flows. The role includes model tracking, versioning, and deployment support, plus participating in CI/CD workflows with GitHub

Qualifications

• Pursuing an undergraduate or master's degree in Computer Science, Data Science, Machine Learning, or related field.
• Strong interest in DataOps, MLOps, and cloud technologies.
• Strong programming skills in Python.
• Some experience with the machine learning development lifecycle, including data preparation, model training, evaluation, deployment, and monitoring.
• Some experience with version control software like GitHub.
• Ability to work independently and collaboratively in a dynamic team environment.
• Excellent written and verbal communication skills.
• Prior experience with cloud platforms (e.g., AWS) is a plus.
• Prior experience in data engineering (e.g., Spark, SQL, Databricks) is a plus.

Responsibilities

• Develop DataOps solutions, including designing database schemas, building data pipelines, implementing data quality checks, data monitoring.
• Support MLOps processes such as model tracking, versioning, and deployment.
• Contribute to CI/CD workflows using GitHub Actions, Jenkins, or similar tools.
• Explore new features in our AI and data platforms and document findings to support the team.

Skills

DataOps

MLOps

Python

Cloud platforms

GitHub

Education

Undergraduate or Master’s in CS/DS/ML

Tools

GitHub Actions

Jenkins

Databricks

Spark

Job description

Aumovio SE is seeking an AIOps Intern to join our AI and data platforms team in Singapore. You will gain hands-on experience in DataOps and MLOps while contributing to scalable AI solutions. Collaborate with engineers to explore tools, build data pipelines, and improve data workflows.

You will design database schemas, implement data quality checks, and monitor data flows. The role includes model tracking, versioning, and deployment support, plus participating in CI/CD workflows with GitHub