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Lead Data Scientist (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
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

Lead Data Scientist (AI): Pioneering innovative applications of data science and machine learning, leveraging GenAI techniques to solve complex challenges in employee engagement. Focus on building a conversational servicebot for 1 million+ MAU, developing production-grade AI/ML solutions for Text2Action problems, and analyzing real-time streaming data.

Company

hirify.global builds uncomplicated service software that delivers exceptional customer and employee experiences.

What you will do

  • Partner with product and business teams to understand challenges and opportunities within the GenAI landscape.
  • Design intelligent systems powered by GenAI, applying expertise in machine learning, statistics, and advanced mathematics.
  • Take full ownership of ML pipelines from start to finish, encompassing data pre-processing, model generation, cross-validation, and continuous feedback integration.
  • Collaborate with ML Engineers to design highly scalable systems and model architectures for real-time ML/AI services.
  • Build efficient systems capable of ingesting and processing vast volumes of streaming data.
  • Define and monitor key performance metrics that accurately reflect the tangible value delivered to end-users through GenAI solutions.

Requirements

  • A Bachelor’s degree or higher in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • A minimum of 7 years of relevant industry work experience.
  • A proven track record of successfully deploying ML projects into production systems.
  • Profound understanding of the math underpinning machine learning algorithms.
  • Hands-on experience with Natural Language Processing tasks utilizing prompt engineering, Large Language Models (LLMs), transformers, and knowledge graphs.
  • Proficiency in large-scale computing and Big Data technologies, specifically distributed programming frameworks like Hadoop and Spark.

Culture & Benefits

  • Environment that enables everyone to find their true potential, purpose, and passion.
  • Committed to providing equal opportunity and believe that diversity in the workplace creates a more vibrant, richer environment.

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