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4 дня назад

Data Scientist (AI/ML)

Формат работы
remote
Тип работы
fulltime
Грейд
middle
Английский
c1
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Scientist (AI/ML): Building data-driven ML solutions, forecasting models, and AI systems for internal business partners with an accent on taking ideas from research and proof of concept through production. Focus on evaluating and improving ML models, developing custom RAG-based solutions and agentic processes, and solving problems with messy, ambiguous, and incomplete data.

Company

hirify.global develops software delivery and security solutions based on its liquid software platform for organizations worldwide.

What you will do

  • Propose data-driven solutions using machine learning models and advanced statistical methods for business challenges.
  • Work with business units and cross-functional teams to gather requirements, conduct data research, and deliver solutions to production.
  • Own the full lifecycle of machine learning models, monitor performance, and improve data science automation pipelines.
  • Prototype and productionize applied AI solutions, including custom RAG systems, agentic processes, and knowledge graphs.
  • Identify opportunities for innovation and business impact while communicating results and recommendations clearly.

Requirements

  • MSc in computer science or an equivalent quantitative field with a focus on machine learning.
  • At least 3 years of industry experience in data science or machine learning, including developing models from initiation through production.
  • Strong foundations in data science, machine learning, model evaluation, and performance analysis.
  • Hands-on experience with the Python machine learning and deep learning ecosystem, databases, and time-series forecasting.
  • Experience implementing and evaluating custom RAG systems and improving their performance.
  • Independent, delivery-oriented work style, strong interpersonal skills, and excellent spoken and written English.

Culture & Benefits

  • Collaborate with internal business partners and cross-functional teams.
  • Work effectively with remote teams.
  • Contribute to an environment focused on research, technological innovation, and practical business impact.

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