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AIOps Intern (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Singapore
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
AIOps Intern (AI): Developing DataOps and MLOps solutions for scalable AI and data platforms with an accent on data pipelines, model lifecycle management, and workflow automation. Focus on designing database schemas, implementing data quality monitoring, supporting model deployment, and exploring platform capabilities.

Location: Singapore, Singapore

Company

hirify.global is an automotive technology and electronics company developing sensor solutions, displays, braking and comfort systems, software platforms, and assistance systems for software-defined vehicles.

What you will do

  • Develop DataOps solutions, including database schemas, data pipelines, data quality checks, and monitoring.
  • Support MLOps processes for model tracking, versioning, and deployment.
  • Contribute to CI/CD workflows using GitHub Actions, Jenkins, or similar tools.
  • Explore AI and data platform features and document findings for the team.
  • Work with experienced engineers on scalable and efficient AI solutions.

Requirements

  • Currently pursuing an undergraduate or master’s degree in Computer Science, Data Science, Machine Learning, or a 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 such as GitHub.
  • Ability to work independently and collaboratively in a dynamic team environment.
  • Excellent written and verbal communication skills.

Nice to have

  • Prior experience with cloud platforms such as AWS.
  • Prior experience in data engineering with Spark, SQL, or Databricks.

Culture & Benefits

  • Hands-on experience with DataOps and MLOps in an AI and data platforms team.
  • Opportunity to explore new platform tools and features while working with experienced engineers.
  • Role based in Singapore.

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