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17 часов назад

AI Engineer (AWS)

Тип работы
fulltime
Грейд
middle
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
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TL;DR

AI Engineer (AWS): Designing, developing, and deploying scalable Generative AI solutions with an accent on LLMs, RAG techniques, and fine-tuning. Focus on building end-to-end AI platform components using Python and AWS services to deliver high-performance customer value.

Company

hirify.global is a global professional services company providing cloud enablement, transformation tools, and data analytics solutions as an AWS Premier Consulting Partner.

What you will do

  • Design and implement Gen AI platform components using Python and modern microservices.
  • Drive end-to-end development of AI systems from research and experimentation to production deployment.
  • Collaborate with product, program, and business teams to deliver customer value and product vision.
  • Analyze complex technical problems and define requirements for scalable AI solutions.
  • Maintain engineering excellence and implement best practices within the AWS ecosystem.
  • Stay updated on the latest Gen AI trends and integrate fresh ideas into the team.

Requirements

  • 2+ years of experience in applying AI to practical technology solutions.
  • Strong understanding of Generative AI principles including LLMs, RAG, and fine-tuning.
  • Proficiency in Python and relevant Gen AI libraries.
  • Excellent problem-solving, analytical, and communication skills.
  • Academic degree in Computer Science or equivalent.

Nice to have

  • Experience with vector databases like OpenSearch or Pinecone.
  • Experience with AWS ecosystem, specifically SageMaker and Bedrock.
  • AWS Machine Learning Specialty or Solutions Architect certifications.
  • Experience contributing to system architecture, design patterns, and scalability.

Culture & Benefits

  • Work with industry leaders who promote continuous learning and personal development.
  • Opportunity to work on high-impact cloud transformation and AI projects.
  • Collaborative environment that values innovation and collective achievement.
  • Equal Opportunity Employer committed to diversity and inclusion.

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