Your main tasks

• Develop and steer the Generative AI roadmap in alignment with organizational priorities and business needs.
• Architect and design enterprise‑ready LLM solutions, including prompt engineering, blueprint creation, and use‑case prototyping.
• Lead AI engineering, data science, and development teams, ensuring high-quality execution and continuous apability development.
• Build and optimize LLM‑based systems such as RAG pipelines, fine‑tuned models, and multi‑agent architectures.
• Shape and influence the machine learning ecosystem, including feature stores, model repositories, and automated MLOps workflows.
• Collaborate with business stakeholders and technical experts to deliver solutions iteratively and educate teams on applied Generative AI.
• Drive continuous innovation by monitoring emerging research, experimenting with new methodologies, and communicating insights clearly.

Your profile

• Ph.D. in Engineering, Data Science, Computer Science, Mathematics, Physics, or a related quantitative field
• 3-5 years of programming experience in Python, SQL, R, MATLAB, and modern deep‑learning frameworks (PyTorch, Keras).
• Extensive hands‑on experience with machine learning (ideally in the healthcare industry), LLM fine‑tuning, and training (e.g., ChatGPT, BERT, LLaMA, Dolly)
• Strong background in building dashboards and web apps using tools such as Dash, Streamlit, or Shiny.
• Proven experience working with cloud technologies and AI/ML platforms such as Databricks or Dataiku.
• At least 2 years of experience designing modular multi‑agent systems, secure agent‑to‑agent frameworks and enterprise‑grade LLM architectures.
• Excellent analytical, communication, and documentation skills with fluency in English
• 
  

Your main tasks

• Develop and steer the Generative AI roadmap in alignment with organizational priorities and business needs.
• Architect and design enterprise‑ready LLM solutions, including prompt engineering, blueprint creation, and use‑case prototyping.
• Lead AI engineering, data science, and development teams, ensuring high-quality execution and continuous apability development.
• Build and optimize LLM‑based systems such as RAG pipelines, fine‑tuned models, and multi‑agent architectures.
• Shape and influence the machine learning ecosystem, including feature stores, model repositories, and automated MLOps workflows.
• Collaborate with business stakeholders and technical experts to deliver solutions iteratively and educate teams on applied Generative AI.
• Drive continuous innovation by monitoring emerging research, experimenting with new methodologies, and communicating insights clearly.

Your profile

• Ph.D. in Engineering, Data Science, Computer Science, Mathematics, Physics, or a related quantitative field
• 3-5 years of programming experience in Python, SQL, R, MATLAB, and modern deep‑learning frameworks (PyTorch, Keras).
• Extensive hands‑on experience with machine learning (ideally in the healthcare industry), LLM fine‑tuning, and training (e.g., ChatGPT, BERT, LLaMA, Dolly)
• Strong background in building dashboards and web apps using tools such as Dash, Streamlit, or Shiny.
• Proven experience working with cloud technologies and AI/ML platforms such as Databricks or Dataiku.
• At least 2 years of experience designing modular multi‑agent systems, secure agent‑to‑agent frameworks and enterprise‑grade LLM architectures.
• Excellent analytical, communication, and documentation skills with fluency in English
•