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2 дня назад

Lead Data Scientist (AI)

Формат работы
remote (только Europe)/hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Ukraine/Poland/Bulgaria
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Lead Data Scientist (AI): Defining technical direction and leading the delivery of advanced Generative AI and agentic solutions with an accent on multi-agent systems and large-scale NLP pipelines. Focus on shaping AI strategy for global clients and ensuring solutions scale from prototype to production impact.

Location: Must be based in Bulgaria, Poland, or Ukraine

Company

hirify.global is a global digital solutions company providing software development and consulting services.

What you will do

  • Define and drive technical vision for AI initiatives using generative AI and agentic frameworks.
  • Design and implement multi-agent systems using LangGraph or CrewAI to enable autonomous problem-solving.
  • Shape AI strategies and translate complex technical concepts for executive and non-technical stakeholders.
  • Deploy production-ready AI/ML solutions on major cloud platforms like Azure, AWS, or GCP.
  • Establish end-to-end AI development processes including LLMOps and continuous monitoring.
  • Mentor and guide Data Scientists and ML Engineers in best practices for engineering excellence.

Requirements

  • Advanced Python proficiency with hands-on experience in PyTorch or TensorFlow.
  • Strong knowledge of Generative AI and NLP, including LLMs and fine-tuning methodologies.
  • Experience with agentic AI frameworks and multi-agent system design.
  • Proven track record of deploying AI/ML solutions at production scale.
  • Master’s or Ph.D. degree in Computer Science or a related field.
  • English: Upper-intermediate (B2) or higher required.

Culture & Benefits

  • Opportunity to work within a large AI and Data Science Center of Excellence with 170+ experts.
  • Exposure to world-leading clients and complex AI strategy projects.
  • Collaborative environment with MLOps and DevOps teams.
  • Commitment to equal opportunity and inclusive workplace practices.

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