Senior Data Scientist (Generative AI)

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 end-to-end ML lifecycle, production reliability, and scalable deep learning across NLP and agentic AI. Focus on designing agentic workflows (LangGraph/CrewAI), multimodal generation (text and images), and data-driven experimentation across cloud platforms.

Location: Bulgaria, Poland

Company

hirify.global builds and delivers AI and data science solutions for clients.

What you will do

• Design and implement generative AI and agentic solutions, including multi-agent systems, intelligent assistants, and agentic RAG pipelines.
• Build and operationalize end-to-end ML pipelines (data analysis, experiment design, fine-tuning, and cloud deployment) for reliable, reproducible production.
• Orchestrate agentic workflows using LangGraph or CrewAI to automate reasoning, analysis, and autonomous decision-making at scale.
• Develop multimodal solutions for language generation, text synthesis, and image creation using modern generative and diffusion model techniques.
• Research, prototype, and deliver scalable deep learning solutions across NLP and agentic AI from experimentation to production.
• Run data-driven experimentation and analysis plans on cloud platforms to generate actionable insights for business decisions.

Requirements

• Master’s or Ph.D. in Computer Science or a related field.
• Advanced Python proficiency with hands-on experience in PyTorch or TensorFlow.
• Strong knowledge of Generative AI and NLP, including transformer models, LLMs, and fine-tuning for domain-specific applications.
• Solid understanding of diffusion models and generative frameworks for text and image generation.
• Working knowledge of agentic AI frameworks such as LangGraph or CrewAI, including multi-agent system design.
• English: Upper-intermediate (B2) or higher (spoken and written).

Culture & Benefits

• Remote/office work model.
• Work within an AI and Data Science Center of Excellence with 170+ experts.
• Full ML lifecycle ownership from experimentation through production deployment.
• Collaboration with Data Scientists and Engineers and client-facing requirement gathering.

Hiring process

• Application form submission and follow-up by the recruiter.