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15 часов назад

MTS – AI Platform Engineer (AI)

119 800 - 234 700$
Формат работы
hybrid
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

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TL;DR

MTS – AI Platform Engineer (AI): Building secure and performant AI Platform services that power Copilot with an accent on next generation AI products and services. Focus on identifying, analyzing, and resolving complex technical issues, ensuring optimal performance, scalability, and user experience.

Location: Must work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S.) of that location.

Salary: USD $119,800 – $234,700 per year.

Company

Microsoft’s mission is to empower every person and every organization on the planet to achieve more.

What you will do

  • Build secure and performant AI Platform services that power Copilot.
  • Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation AI products and services.
  • Ship high-quality, well-tested, secure, and maintainable code.
  • Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
  • Enjoy working in a fast-paced, design-driven, product development cycle.

Requirements

  • Bachelor’s Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
  • 6+ years’ experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc.
  • 6+ years’ experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking.
  • Experience working with AI platforms, frameworks, and APIs.
  • Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.
  • Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.

Nice to have

  • Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
  • Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.

Culture & Benefits

  • Come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals.
  • Build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

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