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Senior Machine Learning Engineer (AI)

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 (AI): Designing and delivering production ML and AI systems for assistants, chatbots, search, recommendations, data processing, and automation with an accent on LLMs, NLP, model evaluation, and MLOps. Focus on building end-to-end solutions, analyzing model quality and failure cases, and integrating reliable systems into high-load products.

Location: Hybrid in Limassol, Tbilisi, or Paphos

Company

hirify.global operates a financial analysis platform used by more than 100 million users across 180+ countries, providing charting, market data, collaboration, and publishing tools.

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.
  • Evaluate external providers, open-source and self-hosted models, and traditional ML/NLP approaches.
  • Prepare data, train models, run A/B tests, and analyze results and business impact.
  • Monitor model performance, quality, reliability, latency, cost, and failure cases while improving prompts, data, models, and architecture.
  • Contribute to ML architecture and engineering standards while collaborating with product managers, engineers, and analysts.

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 engineering practice improvement.
  • Familiarity with Docker, Kubernetes, CI/CD, monitoring tools such as Prometheus and Grafana, and logging.

Nice to have

  • Experience building real-time and high-load ML systems.
  • Experience with open-source or self-hosted models and modern MLOps tools such as MLflow, Airflow, or Kubeflow.
  • Product-oriented mindset, understanding of business metrics, or experience evaluating AI interaction UX.

Culture & Benefits

  • Flexible working hours and a hybrid work format.
  • Well-equipped offices for focused and collaborative work.
  • Global distributed team of 500+ professionals.
  • Learning, mentorship, and long-term career growth.
  • Relocation support, private health insurance, performance-based bonuses, and hirify.global Premium access.
  • Regular team events and company-wide meetups.

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