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2 месяца назад

Engineering Manager (AI)

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

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TL;DR

Engineering Manager (AI): Leading a US-based engineering team to integrate AI and ML solutions into a SaaS platform for the freight industry with an accent on automating workflows and optimizing freight transportation logistics. Focus on guiding the technical direction of AI initiatives, mentoring engineers, and collaborating with product managers and designers.

Location: Remote (United States)

Company

hirify.global is revolutionizing transportation logistics with a multi-tenant SaaS platform.

What you will do

  • Lead a US-based team focused on AI and ML to automate workflows across our SaaS platform.
  • Guide the technical direction of our AI initiatives, mentoring a team of engineers.
  • Collaborate with product managers and designers to deliver innovative solutions.
  • Integrate advanced AI and ML solutions to optimize freight transportation logistics.

Requirements

  • A Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
  • 8+ years of experience in software engineering, with at least 3 years focusing on machine learning, AI, and data science.
  • Proven track record in developing and deploying ML models and AI solutions at scale.
  • Proficiency in one or more programming languages such as Python, C#, or Java.
  • Experience with cloud platforms (Azure preferred).

Nice to have

  • Experience in leading and managing engineering teams, with a focus on AI and ML project execution.
  • Strong understanding of data engineering and the ability to work with large-scale data processing and analysis.
  • Familiarity with Azure ML services, MLOps, and CI/CD pipelines for ML model deployment.
  • Experience in the logistics or transportation industry.
  • Excellent communication skills.

Culture & Benefits

  • Committed to harnessing the power of AI and ML to solve real-world problems in transportation logistics.
  • Team operates with a high degree of autonomy and ownership.
  • We encourage learning from mistakes in a supportive environment.
  • Trust, transparency, and fairness are fundamental to our operations.
  • Dedicated to growing a diverse team of highly talented people.

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