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2 дня назад

Senior ML Engineer (LLM)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Serbia/Ukraine/Poland +4 еще
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 ML Engineer (LLM): Building and optimizing production-ready ML models and agentic systems with an accent on RAG architecture and LLM integration. Focus on developing scalable software modules, orchestrating complex ML pipelines, and maintaining high-performance models in AWS environments.

Location: Must be based in Ukraine, Spain, Slovakia, Serbia, Poland, Armenia, or Slovenia

Company

hirify.global specializes in AI and ML technologies, cloud services, and data engineering, focusing on innovative technology solutions with a positive societal impact.

What you will do

  • Create ML models from scratch or improve existing production models.
  • Collaborate with engineering teams, data scientists, and product managers to deploy models.
  • Develop and maintain a reproducible experimentation roadmap and pipelines.
  • Monitor and optimize ML models in production to ensure peak performance.
  • Write clear and comprehensive documentation for ML processes and pipelines.
  • Stay current with AI/ML developments to propose innovative technical solutions.

Requirements

  • Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems.
  • Proficiency in standard ML algorithms, underlying mathematics, and feature engineering.
  • Practical experience solving classification and regression tasks.
  • Solid software engineering skills with Python and Docker.
  • English: Strong upper-intermediate (B2) proficiency required.
  • Location: Must be based in Ukraine, Spain, Slovakia, Serbia, Poland, Armenia, or Slovenia.

Nice to have

  • Experience with AWS stack, including Bedrock, SageMaker, ECR, EMR, S3, and Lambda.
  • Practical experience with deep learning models.
  • Knowledge of taxonomies or ontologies.
  • Experience orchestrating complicated ML workflows and pipelines.
  • Proficiency with Spark, Dask, or Great Expectations.

Culture & Benefits

  • Opportunities for professional development and career growth.
  • Work with a team dedicated to building cutting-edge technology.

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