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4 дня назад

AI Engineer (AI)

180 656 - 248 360$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR

AI Engineer (AI): Delivering professional services engagements to federal government customers, helping them build and productionize AI applications with an accent on GenAI, LLMOps, and ML. Focus on developing cutting-edge GenAI solutions, incorporating techniques from Mosaic AI Research, and owning production rollouts of consumer and internally facing GenAI applications.

Location: Based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. U.S. citizenship and eligibility for a U.S. government secret clearance are required

Salary: $180,656—$248,360 USD

Company

hirify.global is the data and AI company, with more than 10,000 organizations worldwide relying on its Data Intelligence Platform to unify and democratize data, analytics, and AI.

What you will do

  • Develop cutting-edge GenAI solutions, incorporating the latest techniques from Mosaic AI Research to solve customer problems.
  • Own production rollouts of consumer and internally facing GenAI applications.
  • Serve as a trusted technical advisor to customers across a variety of domains.
  • Present at conferences and be recognized as a thought leader internally and externally.
  • Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap.

Requirements

  • Experience working with U.S. federal civilian, state, or local agencies.
  • Experience building GenAI applications with tools such as HuggingFace, LangChain, and DSPy.
  • Expertise in deploying production-grade GenAI applications, including evaluation and optimizations.
  • Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools.
  • Experience building production-grade machine learning deployments on AWS, Azure, or GCP.
  • Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience.

Nice to have

  • Experience using the hirify.global Intelligence Platform and Apache Spark™ to process large-scale distributed datasets.

Culture & Benefits

  • Comprehensive benefits and perks to meet the needs of all employees.
  • Committed to fostering a diverse and inclusive culture where everyone can excel.
  • Hiring practices are inclusive and meet equal employment opportunity standards.

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