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2 дня назад

Senior AI Engineer (AI)

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

Текст:
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TL;DR

Senior AI Engineer (AI): Designing and deploying advanced AI and machine learning models to power automation and decision support within a leave management platform with an accent on NLP, predictive modeling, and scalable architecture. Focus on implementing MLOps best practices, ensuring ethical AI compliance, and collaborating across teams to embed intelligent capabilities into core product experiences.

Location: Must be based in the United States

Company

hirify.global provides secure, intuitive HR technology designed to bring efficiency and certainty to complex workplace leave management processes.

What you will do

  • Design, develop, and deploy AI and machine learning models for automation and analytics.
  • Research and prototype new AI applications tailored to the leave management domain.
  • Optimize algorithms for performance, accuracy, and scalability in production environments.
  • Implement MLOps best practices for model training, testing, deployment, and monitoring.
  • Partner with data engineering teams to maintain secure and reliable data pipelines.
  • Ensure compliance with ethical AI standards, focusing on fairness and bias detection.

Requirements

  • Must be based in the United States
  • 7+ years of software engineering experience, including 3+ years in AI/ML development.
  • Expertise in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Strong understanding of NLP, predictive modeling, and neural networks.
  • Hands-on experience with MLOps tools and cloud-based AI platforms like AWS, Azure, or GCP.
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.

Culture & Benefits

  • Remote-first work environment with a focus on results and flexibility.
  • Comprehensive benefits package including health and wellness support.
  • Performance-based bonus program and equity opportunities.
  • Access to learning resources, leadership programs, and professional development.
  • Flexible time off and paid holidays to support work-life balance.

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