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10 часов назад

Principal AI/ML Engineer (AI)

140 000 - 175 000$
Формат работы
remote (только USA)
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

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TL;DR

Principal AI/ML Engineer (AI/ML): Designing and implementing production-grade AI and machine learning systems, from model pipelines to agentic AI frameworks, with an accent on technical delivery leadership and scalable architecture. Focus on bridging AI strategy with production execution, optimizing LLM performance, and resolving complex technical dependencies across engineering squads.

Location: Remote (Must be based in the United States)

Salary: $140,000 – $175,000

Company

hirify.global is a mission-driven organization managing a blood stem cell registry for transplantation.

What you will do

  • Own end-to-end AI/ML solution delivery from problem framing and design to deployment and monitoring.
  • Drive daily engineering momentum by managing sprint deliverables and resolving technical blockers.
  • Develop and maintain scalable AI systems, including model pipelines and inference services.
  • Provide technical leadership and guidance, ensuring alignment with security and ethical AI principles.
  • Mentor engineers and data scientists on AI/ML design patterns and performance optimization.
  • Translate high-level architecture decisions into concrete, executable engineering tasks.

Requirements

  • Must be based in the United States.
  • 7+ years of experience in engineering or architecture roles with significant AI/ML experience.
  • Proficiency in Python and deep understanding of software engineering (Git, CI/CD, modular design).
  • Hands-on experience with AWS (SageMaker, Bedrock) and various LLMs (OpenAI, Anthropic, Meta, Google, Hugging Face).
  • Knowledge of vector databases, MLOps/LLMOps, and AI observability tools (e.g., Dynatrace, Langsmith).
  • Proven track record of taking AI/ML prototypes into production-grade systems.

Nice to have

  • Experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Experience in healthcare, life sciences, or HIPAA-regulated environments.
  • Familiarity with enterprise integrations such as Salesforce, ServiceNow, or Oracle HCM.

Culture & Benefits

  • Comprehensive health package including medical, dental, vision, and life insurance.
  • Retirement, paid time off, and incentive plans.
  • Additional perks including legal, identity theft, and pet benefits.
  • Work environment focused on high craft, technical excellence, and mission-driven impact.

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