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5 дней назад

Web Application Architect 4, Machine Learning (AI/ML)

230 000 - 275 000$
Формат работы
onsite
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
Web Application Architect 4, Machine Learning (AI/ML) (Enterprise AI/ML): Leading enterprise AI/ML strategy, architecture, governance, evaluation, and value realization across HR, Finance, Product, Sales, Marketing, and News & Content with an accent on reusable AI capabilities, cloud-based machine learning, and process transformation. Focus on architecting large-scale ML solutions, shaping broad infrastructure, guiding technical direction across teams, and delivering measurable business outcomes.

Location: Arlington, Virginia, United States — 1801 S Bell

Salary: $230,000–$275,000 per year

Company

Enterprise organization applying AI and machine learning across HR, Finance, Product, Sales, Marketing, and News & Content.

What you will do

  • Lead enterprise AI/ML strategy, architecture, governance, evaluation, and value realization.
  • Architect, design, and deliver technical solutions using ML algorithms, tools, models, and data structures.
  • Deliver large-scale ML solutions across multiple business verticals, from conception through deployment.
  • Shape broad architecture and ship large services, complex libraries, and major infrastructure components.
  • Define technology roadmaps and identify strategic growth opportunities enabled by AI/ML.
  • Collaborate with cross-functional teams and communicate technical solutions to non-technical stakeholders.

Requirements

  • Master’s degree or PhD in a related field, or equivalent work experience.
  • At least 7 years of software development experience or equivalent expertise building commercial ML applications.
  • Experience delivering AI/ML-enabled process transformation for organizations of several hundred people.
  • Deep expertise in AI/ML programming languages, large language models, frameworks, libraries, data structures, and data modeling.
  • Experience delivering large-scale, cloud-based machine learning projects.
  • Knowledge of Agile/Scrum, DevSecOps, AWS, DevOps, and cloud technologies, with strong communication and technical leadership abilities.

Culture & Benefits

  • Full-time employment.
  • Cross-functional work across multiple products and business areas.
  • Compensation is determined based on experience, skills, education, certifications, and geographic location.

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