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20 часов назад

Senior AI, ML Engineer

Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Serbia, Poland, Spain, Georgia
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 AI, ML Engineer: Building and optimizing cutting-edge AI and ML technology solutions with an accent on LLMs in production, RAG architecture, and agentic systems. Focus on developing experimentation roadmaps, monitoring ML models in production, and implementing practical solutions for classification, regression, NLP, and recommendation engines.

Location: Must be based in Serbia, Poland, Spain, or Tbilisi (Georgia)

Company

hirify.global specializes in AI and ML technologies, cloud services, and data engineering, dedicated to building cutting-edge solutions with a positive societal impact.

What you will do

  • Create or improve ML models and collaborate with engineering, data scientists, and product managers.
  • Develop and maintain experimentation roadmaps and pipelines.
  • Monitor and ensure optimal performance of ML models in production.
  • Write clear and comprehensive documentation for ML models, processes, and pipelines.
  • Stay updated with the latest ML and AI developments and propose innovative solutions.

Requirements

  • Comfortable with standard ML algorithms and underlying math.
  • Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems.
  • Practical experience with solving classification and regression tasks, including feature engineering.
  • Solid software engineering skills for producing well-structured modules.
  • Expertise in Python and Docker.
  • English level: B2 (strong Intermediate).
  • Excellent communication and problem-solving skills.

Nice to have

  • Practical experience with cloud platforms (AWS stack preferred: 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, Great Expectations.

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