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4 дня назад

MLOps Engineer (AI)

100 000 - 150 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle
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
MLOps Engineer (AI) (ML frameworks/cloud-native technologies): Designing and building tools that improve the Model Development Life Cycle and automate machine learning processes with an accent on ML infrastructure, cloud-native platforms, and system performance. Focus on building repeatable ML workflows, integrating frameworks such as PyTorch and ONNX, and deploying solutions across AWS, GCP, or Azure.

Location: 100% remote within the United States; the posting also lists Cranberry Township, Pennsylvania.

Salary: $100,000–$150,000 annually

Company

hirify.global is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

What you will do

  • Design and build tools that improve the Model Development Life Cycle.
  • Automate machine learning processes and workflows.
  • Enhance system performance and operational efficiency for PeopleSoft projects.
  • Work with machine learning teams and collaborate with peers, stakeholders, and management.
  • Develop repeatable, high-quality outcomes using cloud-native technologies.

Requirements

  • Ability to work remotely from the United States.
  • U.S. Citizens, Green Card Holders, EAD Holders, or H-1B transfer candidates may apply; new H-1B sponsorship is unavailable.
  • 10+ years of experience with an object-oriented programming language such as Python or Go.
  • Degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience.
  • Industry experience with machine learning teams and knowledge of data structures and algorithms.
  • Working knowledge of PyTorch, ONNX, DeepSpeed, Kubernetes, Argo Workflows, Buildpacks, and AWS, GCP, or Azure.

Culture & Benefits

  • Full-time direct W-2 employment.
  • Opportunity for career growth within an established organization.
  • Collaborative work with peers, stakeholders, and management.
  • Equal employment opportunity and a workplace free from harassment and discrimination.

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