3 дня назад
Middle Data Scientist (Generative AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Middle Data Scientist (Generative AI) (Python/PyTorch/TensorFlow): Developing generative AI and machine learning solutions, including NLP pipelines, RAG applications, and agentic workflows, with an accent on transformer models, LLMs, and production-ready ML pipelines. Focus on building multi-agent systems, deploying reproducible models in cloud environments, and translating experimental findings into actionable conclusions.
Location: Ukraine; remote or office work
Company
delivers engineering, data science, and AI solutions for client projects through its AI and Data Science Center of Excellence.
What you will do
- Implement generative AI, RAG, intelligent assistant, and NLP solutions.
- Build and maintain ML pipelines covering data analysis, experimentation, model training, and deployment.
- Develop agentic workflows and multi-agent applications with LangGraph or CrewAI.
- Apply deep learning with Python, PyTorch, and TensorFlow across NLP and generative AI projects.
- Use Big Data tools and AWS, GCP, or Azure for experimentation, feature engineering, and analysis.
- Document experiments and communicate data-driven conclusions to technical and non-technical stakeholders.
Requirements
- At least 3 years of data science or machine learning experience.
- Master’s degree in Computer Science or a related field.
- Strong Python skills and experience with PyTorch or TensorFlow.
- Foundational knowledge of generative AI, NLP, transformer models, and LLMs such as GPT or Claude.
- Familiarity with agentic AI, cloud-based AI/ML services, ML lifecycles, and Big Data processing.
- Upper-intermediate English or higher, spoken and written.
Culture & Benefits
- Work remotely or from an office in Ukraine.
- Collaborate with more than 170 AI and data science experts, including Data Scientists, ML Engineers, and Architects.
- Contribute to diverse client projects with measurable business impact.
- Work alongside experienced researchers and engineers.
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