AI Data Scientist (Generative AI, NLU)

TL;DR

Principal AI Scientist (Agentic AI, Generative AI, NLU): Leading high-impact technical innovation by designing and prototyping novel AI models for autonomous, agent-based systems in healthcare workflows. Focus on advancing state-of-the-art NLU for clinical text, adapting large language models to healthcare-specific language, and creating robust AI pipelines for structured and unstructured healthcare data.

Location: Hybrid in Dublin, Ireland. Must be legally authorized to work in Ireland without sponsorship for employment visa status.

Company

hirify.global is a new healthcare company focused on solving big challenges to improve lives through health, material, and data science innovations.

What you will do

• Lead high-impact technical innovation as a hands-on research and development leader.
• Design, prototype, and evaluate novel AI models for autonomous, agent-based systems in healthcare.
• Advance state-of-the-art NLU for clinical, operational, and administrative healthcare text.
• Adapt and fine-tune large language models for healthcare-specific language and ethical considerations.
• Create AI pipelines to process structured and unstructured healthcare data (FHIR, HL7, clinical notes).
• Mentor junior AI scientists and engineers and drive internal knowledge-sharing on emerging AI trends.

Requirements

• PhD or Master’s in Computer Science, AI, Machine Learning, or related field.
• 5+ years of experience in AI/ML with a strong portfolio of deployed models.
• Proficiency in Python, R, and modern ML libraries.
• Experience with GenAI, LLMs, and transformer architectures.
• Skilled with AI development tools and frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, RAG systems).
• Hands-on experience with autonomous AI agents and reasoning systems.
• Strong track record applying AI to healthcare or life sciences use cases.
• Familiarity with cloud platforms (AWS) and MLOps practices.

Nice to have

• Multi-modal AI research experience.
• Knowledge graph integration and symbolic reasoning expertise.
• Proven ability to take AI research from concept to production.

Culture & Benefits

• Support for well-being with competitive pay and benefits.
• Commitment to diversity and inclusion (equal opportunity employer).
• Collaborative environment with other scientists, engineers, and domain experts.
• Focus on creating explainable, reliable, and transformative healthcare solutions.