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Lead Data Scientist (Generative AI)

Формат работы
remote (только Poland)/onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Poland
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 (Generative AI): Defining technical direction and delivering advanced generative AI and agentic solutions, from multi-agent systems to large-scale NLP pipelines, with an accent on production-scale deployment, cloud platforms, and end-to-end ML lifecycle management. Focus on designing autonomous multi-agent systems, building reliable LLMOps and MLOps processes, shaping AI strategies for clients, and mentoring Data Science and ML teams.

Location: Poland; work type: remote or office

Company

hirify.global delivers software engineering, AI, and data science solutions for clients across industries.

What you will do

  • Define the technical vision for generative AI and agentic AI initiatives and align solutions with business goals.
  • Design and implement multi-agent systems with LangGraph, CrewAI, or similar frameworks.
  • Shape AI strategies with clients and translate complex technical concepts into production-ready solutions.
  • Build and deploy AI/ML solutions on Azure, AWS, and GCP in collaboration with MLOps and DevOps teams.
  • Optimize end-to-end AI development processes, including data pipelines, model training, LLMOps, monitoring, and continuous improvement.
  • Mentor Data Scientists and ML Engineers and contribute to technical publications, case studies, and industry events.

Requirements

  • Advanced Python proficiency and hands-on experience with PyTorch or TensorFlow.
  • Strong knowledge of generative AI, NLP, transformer models, LLMs, and fine-tuning methodologies.
  • Experience with LangGraph, CrewAI, multi-agent system design, and autonomous decision-making patterns.
  • Experience deploying AI/ML solutions to major cloud providers and managing the full ML lifecycle at production scale.
  • Experience leading or mentoring Data Science or ML teams, shaping technical vision, and communicating with executive and non-technical stakeholders.
  • Master’s or Ph.D. in Computer Science or a related field; upper-intermediate or higher English proficiency is required.

Culture & Benefits

  • Work within an AI and Data Science Center of Excellence with more than 170 experts.
  • Collaborate with Data Scientists, ML Engineers, Architects, MLOps, DevOps, and client stakeholders.
  • Contribute to thought leadership through technical publications, case studies, conferences, and industry events.

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