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23 часа назад

Senior GenAI Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Serbia, Poland, Spain, Armenia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior GenAI Engineer (AI): Building and optimizing cutting-edge AI/ML technology solutions with an accent on LLMs in production, RAG architecture, and agentic systems. Focus on creating and improving ML models, monitoring their performance, and developing reproducible experimentation pipelines.

Location: Must be based in Yerevan, Poland, Spain, or Serbia

Company

hirify.global specializes in AI, ML, cloud services, and data engineering, building cutting-edge technology solutions that have a positive impact on society.

What you will do

  • Create and improve existing ML models.
  • Collaborate with engineering teams, data scientists, and product managers on production models.
  • Develop an experimentation roadmap and maintain experimentation pipelines.
  • Monitor and maintain ML models in production to ensure optimal performance.
  • Write clear and comprehensive documentation for ML models, processes, and pipelines.
  • Stay updated with the latest developments in ML and AI and propose innovative solutions.

Requirements

  • Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems.
  • Solid software engineering skills (producing well-structured modules).
  • Python expertise and Docker.
  • Practical experience with ML models in production, solving classification and regression tasks, and feature engineering.
  • Practical experience with one or more use cases from NLP, LLMs, and Recommendation engines.
  • English level: B2 (Strong Intermediate).

Nice to have

  • Practical experience with cloud platforms (AWS stack preferred, e.g., Amazon SageMaker, ECR, EMR, S3, AWS Lambda).
  • Practical experience with deep learning models.
  • Experience with taxonomies or ontologies.
  • Practical experience with machine learning pipelines to orchestrate complicated workflows.
  • Practical experience with Spark/Dask and Great Expectations.

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