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Вакансия опубликована 8 дн. назад - шансы на ответ снижаются.

обновлено 8 дней назад

LLM/ML Engineer (AI)

Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Cyprus
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний

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TL;DR
LLM/ML Engineer (AI): Designing and integrating LLM-based solutions, chatbots, assistants, recommendation systems, and AI tools for advertising products and internal workflows with an accent on NLP, RAG pipelines, fine-tuning, and multimodal data processing. Focus on evaluating model quality, automating information retrieval and support, and embedding safe LLM usage into business processes.

Location: Limassol, Cyprus

Company

TrafficStars is a product-driven IT company developing a high-load digital advertising platform that processes over 10 billion events daily and stores data in a 3.6-petabyte ClickHouse cluster.

What you will do

  • Design and integrate LLM-based solutions into internal and client-facing products.
  • Build and refine chatbots, assistants, and recommendation systems.
  • Develop fine-tuning and RAG pipelines for model improvement.
  • Process and structure large volumes of textual and multimodal data while applying prompt engineering techniques.
  • Embed LLMs into information retrieval, support automation, code review, and documentation workflows.
  • Evaluate model performance through quality metrics, A/B testing, and user feedback, and collaborate with Data Science and Platform teams.

Requirements

  • Strong knowledge of Python and modern ML/AI frameworks such as PyTorch, TensorFlow, and JAX.
  • Solid understanding of NLP and LLM architectures, with hands-on experience using RAG frameworks.
  • Experience with workflow automation tools such as n8n.
  • Proficiency with Git and understanding of MLOps principles.
  • Awareness of information security and safe LLM usage practices.
  • Ability to conduct LLM training sessions for employees and write MCPs.

Nice to have

  • Experience with SQL and data storage systems including PostgreSQL, ClickHouse, Spark, or Flink.
  • Basic knowledge of Kubernetes.

Culture & Benefits

  • No dress code and minimal bureaucracy.
  • Choice between a MacBook and a Windows laptop.
  • Health insurance and mobile plan coverage.
  • Free lunches, drinks, fresh fruit, and office snacks.
  • Free English classes and fitness reimbursement.
  • Partial coverage of kindergarten and school costs at 50% gross.

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