Senior Data Scientist (Generative AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Data Scientist (Generative AI): Developing and deploying advanced Generative AI and agentic solutions, including autonomous multi-agent systems and RAG pipelines, with an accent on autonomous decision-making and scalability. Focus on orchestrating agentic workflows using LangGraph or CrewAI and operationalizing end-to-end ML pipelines in cloud environments.
Location: Remote or Office in Bulgaria or Romania
Company
is a global provider of software development and AI/Data Science consulting services through its specialized Center of Excellence.
What you will do
- Design and implement Generative AI solutions, including multi-agent systems and agentic RAG pipelines.
- Build and operationalize end-to-end ML pipelines from data analysis and model fine-tuning to cloud deployment.
- Orchestrate agentic workflows using LangGraph or CrewAI to automate complex reasoning and decision-making.
- Develop multimodal solutions for language generation, text synthesis, and image creation using diffusion models.
- Research and prototype scalable deep learning solutions across NLP and agentic AI domains.
- Collaborate with stakeholders to translate complex AI outputs into actionable business insights.
Requirements
- Advanced Python proficiency with hands-on experience in PyTorch or TensorFlow.
- Strong knowledge of GenAI and NLP, including transformer models and LLMs (GPT-4, Claude, Gemini).
- Working knowledge of agentic AI frameworks such as LangGraph or CrewAI.
- Proven experience deploying AI/ML solutions to major cloud providers throughout the full ML lifecycle.
- Master's or Ph.D. degree in Computer Science or a related field.
- English: Upper-intermediate (B2) or higher proficiency required.
Culture & Benefits
- Opportunity to work within a Center of Excellence with 170+ AI and Data Science experts.
- Engagement across the full ML lifecycle, from initial experimentation to production.
- Inclusive work environment as an equal opportunity employer.
- Flexible work arrangement with options for both remote and office-based work.
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