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6 дней назад

Senior Machine Learning Engineer (LLM/NLP)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Cyprus/Georgia
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR
Senior Machine Learning Engineer (LLM/NLP): Designing and integrating production ML and AI modules, including LLM-based systems, assistants, search, recommendation, and intelligent data processing, with an accent on end-to-end delivery, model evaluation, and MLOps. Focus on training and monitoring models, evaluating quality and failure cases, making architectural decisions, and building reliable high-load systems with CI/CD, containerization, and observability.

Location: Hybrid in Limassol, Tbilisi, or Paphos

Company

hirify.global operates a financial analysis platform used by more than 100 million users across over 180 countries.

What you will do

  • Design and implement ML and AI modules from experimentation and prototyping through production integration.
  • Build LLM- and NLP-based solutions for data processing, generation, search, assistants, bots, agents, and automation.
  • Prepare data, train models, run A/B tests, and analyze results.
  • Monitor and improve model performance, reliability, latency, cost, and key metrics.
  • Evaluate AI-system quality, investigate failure cases, and improve models, prompts, data, and architecture.
  • Collaborate with product managers, engineers, and analysts while contributing to ML architecture and engineering standards.

Requirements

  • 3+ years of experience in ML engineering and building production-ready ML systems.
  • Strong practical expertise in NLP, LLMs, AI assistants, classification, ranking, retrieval, semantic similarity, and information extraction.
  • Experience delivering end-to-end ML solutions from data and experimentation to production and support.
  • Proficiency in Python and Go with production-grade development experience.
  • Knowledge of A/B testing, result interpretation, architectural decision-making, and ML/AI quality evaluation.
  • Familiarity with Docker, Kubernetes, CI/CD, monitoring tools such as Prometheus and Grafana, and logging.

Nice to have

  • Experience with real-time and high-load ML systems.
  • Experience with open-source or self-hosted models.
  • Familiarity with MLflow, Airflow, Kubeflow, or similar MLOps tools.
  • Product-oriented mindset and understanding of business metrics.
  • Experience evaluating the UX of AI-driven interactions.

Culture & Benefits

  • Flexible working hours and a hybrid work format.
  • Well-equipped offices for focused and collaborative work.
  • Learning, mentorship, and long-term career growth.
  • Relocation support and private health insurance.
  • Performance-based bonuses, hirify.global Premium access, and regular team events.

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