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15 часов назад

Principal AI Engineer (Chief Architect)

Формат работы
remote (только USA)/hybrid
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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TL;DR
Principal AI Engineer (Chief Architect) (AI/ML infrastructure): Building scalable end-to-end AI platforms, data pipelines, and deployment systems for production machine learning applications with an accent on cloud platforms, model deployment, and secure distributed architecture. Focus on designing AI infrastructure from scratch, optimizing large-scale systems, and integrating frameworks, APIs, databases, and containerized services.

Location: Wilmington, Delaware, United States; remote with 10% travel or hybrid

Company

hirify.global is a professional services organization supporting large-scale AI and machine learning initiatives.

What you will do

  • Lead the design, development, and maintenance of scalable AI infrastructure from the ground up.
  • Build and maintain data pipelines, deployment strategies, and production machine learning platforms.
  • Develop AI integrations and APIs using REST and API gateways.
  • Work with cloud platforms, containerized services, relational databases, NoSQL databases, and distributed systems.
  • Optimize code and AI systems for performance, reliability, and security.
  • Collaborate with cross-functional teams to deliver production-ready AI capabilities.

Requirements

  • 10+ years of progressive engineering experience in large-scale data or AI projects.
  • Strong programming experience with Python, Java, or R.
  • Experience with AWS or Azure and AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • Knowledge of Docker, Kubernetes, relational and NoSQL databases, API development, distributed systems, and microservices architecture.
  • Experience deploying and maintaining AI or machine learning models in production.
  • Ability to travel approximately 10–20%; the role is remote from Wilmington, Delaware, with a hybrid option.

Nice to have

  • Experience with Spark, Databricks, Kafka, Snowflake, Hadoop, or other real-time, batch, and big data technologies.
  • Knowledge of NLP, reinforcement learning, generative AI, autonomous systems, or MLOps.
  • Experience with AI applications in the insurance industry.
  • Bachelor’s degree in Computer Science, Information Technology, or a related field.

Culture & Benefits

  • Direct-hire employment.
  • Opportunity to work on advanced AI infrastructure and machine learning solutions.
  • Remote or hybrid work arrangement with limited travel.
  • Focus on collaboration, innovation, reliability, security, and continuous learning.

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