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2 дня назад

Application Infrastructure Developer (MLOps)

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Application Infrastructure Developer (MLOps): Developing and supporting application infrastructure for analytics systems with an accent on deployment automation, repository maintenance, application security, scripting, and performance monitoring. Focus on building CI/CD workflows, administering containers and third-party software, and supporting machine learning model deployment pipelines.

Location: Lansing, Michigan; hybrid work may be available after initial in-person training, with up to 3 work-from-home days per week. Fully remote work is not available.

Company

Insurance carrier providing financial security to individuals and businesses after losses.

What you will do

  • Develop and support infrastructure for new and existing software applications.
  • Automate application deployments and maintain source code repositories.
  • Support application security, scripting, performance monitoring, and third-party software administration.
  • Build and maintain CI/CD processes across software development life cycles.
  • Collaborate with software engineers, system administrators, database administrators, security engineers, and test automation engineers.
  • Support machine learning operations tools and model deployment pipelines.

Requirements

  • Bachelor's degree in Computer Science, Information Systems, Information Technology, or a related field; several years of relevant experience may be considered instead.
  • Ability to learn and use tools and development techniques adopted within the Analytics Division.
  • Some object-oriented development experience with Python, C#, and/or Java.
  • Experience or familiarity with SQL, Jenkins, Git, Bitbucket, Docker, Kubernetes, PowerShell, and/or SSRS/SSIS.
  • Ability to work in Lansing, Michigan and authorization to work in the U.S. without sponsorship are required.

Nice to have

  • Experience with MLOps tools such as MLFlow or SageMaker.
  • Experience developing model deployment pipelines.

Culture & Benefits

  • Merit-based work-from-home flexibility tied to job responsibilities.
  • Structured training and employee mentoring.
  • Competitive base salary, bonus programs, and a comprehensive benefits package.
  • Matched 401(k) and a fully funded pension plan after vesting.
  • Paid holidays, vacation days, personal time, and sick leave.

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