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7 дней назад

AI/ML Computational Science Associate Manager (AI/ML)

68 300 - 190 400$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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
AI/ML Computational Science Associate Manager (AI/ML): Design, build, and operationalize production-ready AI and machine learning solutions for enterprise clients with an accent on deep learning, generative AI, scalable data pipelines, and MLOps/LLMOps. Focus on deploying models at scale, developing distributed and high-performance computing systems, and integrating reliable AI solutions into client production environments.

Location: Chicago, hirify.global Tower, Illinois, United States; hybrid workplace. Travel may be required from 0–100% depending on client and business needs.

Annual salary range for Illinois: $68,300–$190,400.

Company

hirify.global is a global professional services company helping enterprises and public-sector organizations build digital cores, optimize operations, and apply cloud, data, and AI capabilities.

What you will do

  • Formulate business problems into practical, efficient, and scalable AI and machine learning solutions.
  • Develop machine learning algorithms, computational systems, and scalable data pipelines for training and production using DevOps and MLOps.
  • Customize and apply deep learning and generative AI models, including solutions for edge devices and high-performance computing environments.
  • Research AI and high-performance computing algorithms, models, and simulations for complex client business problems.
  • Process large-scale datasets and implement efficient data storage, retrieval, monitoring, alerting, auditing, and model knowledge mechanisms.
  • Collaborate with business and technical stakeholders, including users, business owners, engineers, architects, and UI designers, to deliver end-to-end production solutions and justify model value.

Requirements

  • At least 4 years of experience as a machine learning engineer or scientist deploying models in production at scale, including monitoring, alerting, automatic bug filing, and auditing.
  • At least 4 years of experience applying theoretical computer science foundations, including computer system architecture, systems engineering, and programming.
  • At least 4 years of experience with distributed computing systems and architecture, including areas such as big data, high-performance computing, engineering simulations, scientific computing, grid and cloud computing, or distributed networks.
  • At least 2 years of experience building and deploying AI/ML-based software in a cloud environment.
  • Bachelor’s degree or equivalent experience; an equivalent requires at least 12 years of work experience. An associate degree requires at least 6 years of work experience.
  • Applicants for employment in the United States must already have work authorization that will not require current or future visa sponsorship.

Culture & Benefits

  • Hybrid work with potential client travel of 0–100% based on business needs.
  • Medical, dental, vision, life, and long-term disability coverage.
  • 401(k) plan, bonus opportunities, paid holidays, and paid time off.
  • Commitment to inclusion, diversity, equal employment opportunity, and reasonable accommodation.

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