4 дня назад
Lead Data Scientist (Generative AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Data Scientist (Generative AI): Defining technical direction and delivering production-ready generative AI, agentic systems, and large-scale NLP pipelines with an accent on multi-agent architectures, cloud deployment, and full ML lifecycle ownership. Focus on designing autonomous AI solutions, scaling models from prototypes to measurable production impact, and mentoring Data Science and ML teams.
Location: Poland; remote or office-based work available
Company
is a technology services company delivering software engineering, AI, and data science solutions for global clients.
What you will do
- Define the technical vision for generative AI and agentic AI initiatives in alignment with business goals.
- Design and implement multi-agent systems using LangGraph, CrewAI, or comparable frameworks.
- Shape AI strategies with clients and translate complex technical concepts into production-ready solutions.
- Build and deploy AI/ML systems on Azure, AWS, and GCP in collaboration with MLOps and DevOps teams.
- Establish end-to-end AI development practices covering 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 skills and hands-on experience with PyTorch or TensorFlow.
- Strong knowledge of generative AI, NLP, transformer models, LLMs, and fine-tuning methods.
- 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.
- Proven 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 required.
Culture & Benefits
- Work within an AI and Data Science Center of Excellence comprising more than 170 experts.
- Collaborate with Data Scientists, ML Engineers, Architects, MLOps, DevOps teams, and international clients.
- Contribute to innovation, technical thought leadership, publications, and industry conferences.
- Choose between remote and office-based work in Poland.
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