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13 часов назад

Staff Machine Learning Scientist (AI)

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

Текст:
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TL;DR
Staff Machine Learning Scientist (AI) (Python/LLMs): Building scalable machine learning models and AI-driven customer service features with an accent on generative models, information retrieval, prompt engineering, and production ML systems. Focus on prototyping novel LLM features, improving the quality and robustness of Zendesk AI capabilities, and mentoring colleagues while collaborating with engineering and product teams.

Location: Tallinn, Estonia; hybrid work with attendance at the local office for part of the week

Company

hirify.global develops customer service software that powers conversations between brands and their customers.

What you will do

  • Design, develop, and implement machine learning models and algorithms for AI-driven customer service features.
  • Propose and prototype generative AI features that solve customer problems.
  • Apply recent ML techniques, including information retrieval, prompt engineering, and LLMs.
  • Collaborate with ML engineers, software engineers, product managers, and UX teams.
  • Improve the quality and robustness of hirify.global AI capabilities and production ML applications.
  • Mentor junior colleagues and establish high standards for ML-powered applications.

Requirements

  • Proficiency in Python and strong code hygiene.
  • Solid knowledge of statistical analysis, data mining, predictive modeling, and supervised or unsupervised machine learning.
  • Track record of deploying models to production.
  • Strong written and verbal communication skills, including the ability to explain technical concepts to nontechnical audiences.
  • Independence, planning, and time-management skills for focused research and development work.
  • Experience with machine learning and AI technologies; LLM experience is advantageous.

Nice to have

  • MSc or PhD in computer science, mathematics, physics, or a related analytical or technical field.

Culture & Benefits

  • Autonomy, trust, and freedom to research interesting problems.
  • Direct ownership and impact on developed product features.
  • Production-oriented data engineering infrastructure and strong data availability.
  • Access to current technologies and support for bringing innovative solutions into production.
  • Collaborative environment with open sharing of challenges and achievements.
  • Flexible working hours and remote work for part of the week.

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