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5 дней назад

Lead AI/ML Engineer

160 000 - 190 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
lead
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
Lead AI/ML Engineer (AI/ML and agentic AI): Building and productionizing machine learning and agentic AI functionality for a predictive procurement platform with an accent on production reliability, evaluation systems, and responsible AI. Focus on shaping AI/ML architecture, embedding intelligent capabilities into enterprise software, and managing latency, cost, error handling, and safety in production.

Location: United States; remote-first with regular in-person team-building, design sprint, and customer opportunities

Salary: $160,000–$190,000 USD per year

Company

hirify.global provides a predictive procurement platform that uses AI, game theory, and behavioral science to improve enterprise negotiations and uncover savings.

What you will do

  • Design, build, and productionize machine learning and agentic AI functionality.
  • Embed AI capabilities into the product in partnership with product engineering squads.
  • Shape AI/ML architecture, the evolving technology stack, and production engineering practices.
  • Own evaluation sets, ground truth, and automated evaluation systems for AI projects.
  • Build tooling for reliable production deployment, with attention to latency, cost, error handling, safety, and responsible AI.
  • Guide engineers on AI/ML practices and communicate with technical, non-technical, and customer-facing stakeholders.

Requirements

  • 6+ years of experience in data science, machine learning engineering, or a related quantitative or engineering field.
  • Hands-on experience delivering production ML or AI systems, including ML models or agentic functionality.
  • Strong software engineering skills, particularly in Python.
  • Experience building evaluation sets or ground truth for ML or LLM-based systems and using MLOps practices.
  • Familiarity with cloud platforms, preferably AWS, data warehousing such as Snowflake, version control, and CI/CD.
  • Ability to lead technical work with limited oversight and influence technical direction without formal authority.

Nice to have

  • Experience embedding LLM-based or agentic features into a production product.
  • Experience with dbt, Docker, or Kubernetes.
  • Experience mentoring engineers or serving as a technical go-to person.
  • Knowledge of procurement or supply chain data models.
  • Enterprise software or startup experience.

Culture & Benefits

  • Remote-first work with regular opportunities to meet in person.
  • Medical, dental, and vision insurance premiums covered up to 100% for employees.
  • 401(k) discretionary employer matching and unlimited PTO.
  • Annual $1,000 budget for learning and professional development.
  • Startup equity and a diverse, inclusive, highly collaborative work environment.

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